Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 15th May 2026, 03:10:05pm CEST
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Agenda Overview |
| 8:30am - 9:00am |
Registration Location: JOIN Lounge |
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| 8:30am - 6:00pm |
Child Care Location: Konferenz 4 |
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| 9:00am - 11:00am |
AI World Café Location: JOIN Lounge Chair: Susanne Wenzel, Forschungszentrum Jülich GmbH |
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| 11:00am - 12:00pm |
Opening Remarks & Welcome Location: LAB Lounge Chair: Hannah Spitzer, Helmholtz Munich Chair: Steffen Schneider, Helmholtz Munich |
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| 12:00pm - 12:45pm |
Keynote Talk Pierre Gentine (NSF Science and Technology Center “LEAP”; Columbia University, USA) Location: LAB Lounge Chair: Zeynep Akata, Helmholtz Munich Invited talk Lost (and found) in latent land: applications to weather and climate Columbia University, United States of America |
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| 12:45pm - 2:00pm |
Lunch Location: GERN/i-Track Red curry with rice (vegan) [soy, sesame, celery] & Käsespätzle with fried onions | mixed salad (vegetarian) [milk/lactose, gluten] | Side salads | Selection of daily desserts |
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| 2:00pm - 3:15pm |
Session 1a: Benchmarking & Testing Location: LAB Lounge Chair: Steffen Schneider, Helmholtz Munich Invited talk Embracing the Tyranny of Testing Max Planck Institute for Intelligent Systems, Germany 2:20pm - 2:34pm Bridging Perception and Logic: An Abductive Learning Cycle for Semantically Anchored Facial Expression Recognition 1: Neu-Ulm University of Applied Sciences, Germany; 2: University of Würzburg 2:34pm - 2:48pm Human-in-the-loop Concept Discovery and Curation in Vision Foundation Models 1: Helmholtz Munich, Germany; 2: KAIST AI, South Korea 2:48pm - 3:02pm TACTIC: Tabular-Attribute Conditioned Transformer for Image Classification 1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany; 3: King's College London, UK 3:02pm - 3:15pm Learning Physical Geometry from Noisy Helical Particle Tracks: A Comparative Study of Transformers, SBI, and JEPA L2I Toulouse, CNRS/IN2P3, Université de Toulouse |
Session 1b: Interpretability Location: GERN Stage Chair: Hannah Spitzer, Helmholtz Munich Invited talk Learning Actionable Insights from Scientific Data CISPA Helmholtz Center for Information Security, Germany 2:20pm - 2:34pm RIBEX: Predicting and Explaining RNA Binding Across Structured and Intrinsically Disordered Regions (IDR)-rich Proteins 1: Helmholtz Munich, Germany; 2: School of Computation, Information and Technology, TUM; 3: School of Social Sciences and Technology, TUM; 4: Munich Center for Machine Learning (MCML) 2:34pm - 2:48pm FoldSAE: Learning to Steer Protein Folding Through Sparse Representations 1: University of Warsaw, Poland; 2: Warsaw University of Technology, Poland; 3: Helmholtz Munich, Germany; 4: Ideas Research Institute 2:48pm - 3:02pm Interpreting Multimodal Latent Spaces in Single-Cell Multi-omics with Feature Attribution Techniques Laboratory of Multi-omics Integrative Bioinformatics, Department of Human Genetics, KU Leuven, Leuven, Belgium. 3:02pm - 3:15pm Structured and interpretable patient embeddings from Single-Cell Foundation Models Helmholtz Munich, Germany |
| 3:15pm - 3:30pm |
Poster Spotlight Talks I Location: LAB Lounge Chair: Steffen Schneider, Helmholtz Munich MLflow pilot service for Helmholtz researchers Karlsruhe Institute of Technology (KIT), Germany 3:18pm - 3:21pm Towards Robust Foundation Models for Digital Pathology 1: Berlin Institute for the Foundations of Learning and Data (BIFOLD), Berlin, Germany; 2: Machine Learning Group, Technische Universität Berlin, Berlin, Germany; 3: Aignostics, Berlin, Germany; 4: The Netherlands Cancer Institute Amsterdam (NKI), Antoni van Leeuwenhoek Hospital (AvL), Amsterdam, Netherlands; 5: Institute of Pathology, Ludwig Maximilian University, Munich, Germany; 6: German Cancer Research Center, Heidelberg, and German Cancer Consortium, Munich, Germany; 7: Institute of Pathology, Charité Universitätsmedizin, Berlin, Germany; 8: Department of Artificial Intelligence, Korea University, Seoul, Korea; 9: Max-Planck Institute for Informatics, Saarbrücken, Germany 3:21pm - 3:24pm Sailing Past Syntax: A Human-in-the-Loop Framework for Safe Generative AI in Science Centre de Physique des Particules de Marseille, France 3:24pm - 3:27pm The Helmholtz Model Zoo: Enabling AI Model Sharing and Inference in the Helmholtz Cloud Deutsches Elektronen-Synchroton DESY, Germany 3:27pm - 3:30pm Improving Reliability of LLM-Based Robotic Task Planning Through Domain Adaptation and Benchmarking ARENA2036, Germany |
Poster Spotlight Talks II Location: GERN Stage Chair: Hannah Spitzer, Helmholtz Munich Modelling Urban Air Pollution with a Transferable Probabilistic Machine Learning Approach 1: Helmholtz Zentrum Hereon, Germany; 2: Helmholtz AI 3:18pm - 3:21pm Uncertainty-Guided Generation of Dark-Field Radiographs 1: School of Computation, Information and Technology, Technical University of Munich, 85748 Garching, Germany; 2: Munich Center for Machine Learning (MCML), Munich, Germany; 3: Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich, 85764 Neuherberg, Germany; 4: Department of Physics, School of Natural Sciences, Technical University of Munich, 85748 Garching, Germany; 5: Munich Institute of Biomedical Engineering, Technical University of Munich, 85748 Garching, Germany; 6: Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM University Hospital Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany; 7: Institute for Advanced Study, Technical University of Munich, 85748 Garching, Germany; 8: School of Biomedical Engineering & Imaging Sciences, King’s College, London, UK 3:21pm - 3:24pm AI-assisted Classification of Polar Phytoplankton’s Functional Biodiversity using Multispectral Imaging Flow Cytometry 1: Alfred Wegener Institute, Germany; 2: University of Bremen, Germany 3:24pm - 3:27pm SoraCT: Unconditioned 3D CT Synthesis via Video Diffusion Transformers 1: Friedrich-Alexander University Erlangen-Nürnberg, Germany; 2: Department of Computing, Imperial College London, UK 3:27pm - 3:30pm A 3D Foundation Model for Generalizable Biological Structure Segmentation in Tissue Clearing Images 1: Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, Munich, Germany; 2: Institute for Intelligent Biotechnologies (iBIO), Helmholtz Center Munich, Neuherberg, Germany; 3: Faculty of Medicine, Ludwig-Maximilians University Munich, Munich, Germany; 4: Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; 5: Munich Medical Research School (MMRS), Munich, Germany; 6: Deep Piction GmbH, Munich, Germany; 7: School of Medicine, Koç University, İstanbul, Turkey |
| 3:30pm - 4:00pm |
Coffee break Location: GERN/i-Track |
Speed Networking I Location: Networking Area i-Track Chair: Lisa Barros de Andrade e Sousa, Helmholtz Munich, Helmholtz AI Chair: Mayra Marin, Helmholtz Munich, Helmholtz AI |
| 4:00pm - 6:00pm |
Poster Session I Location: JOIN Lounge Interpretable Representations for Hematology 1: Helmholtz Munich, Germany; 2: Medical Department for Hematology and Oncology, Technical University Munich Analysis of multi-omics data using graph neural networks identifies novel schizophrenia-associated genes suitable as drug targets 1: Helmholtz Munich, Germany; 2: Boehringer Ingelheim Pharma, Germany; 3: Technical University of Munich, Germany MLflow pilot service for Helmholtz researchers Karlsruhe Institute of Technology (KIT), Germany Towards Robust Foundation Models for Digital Pathology 1: Berlin Institute for the Foundations of Learning and Data (BIFOLD), Berlin, Germany; 2: Machine Learning Group, Technische Universität Berlin, Berlin, Germany; 3: Aignostics, Berlin, Germany; 4: The Netherlands Cancer Institute Amsterdam (NKI), Antoni van Leeuwenhoek Hospital (AvL), Amsterdam, Netherlands; 5: Institute of Pathology, Ludwig Maximilian University, Munich, Germany; 6: German Cancer Research Center, Heidelberg, and German Cancer Consortium, Munich, Germany; 7: Institute of Pathology, Charité Universitätsmedizin, Berlin, Germany; 8: Department of Artificial Intelligence, Korea University, Seoul, Korea; 9: Max-Planck Institute for Informatics, Saarbrücken, Germany Sailing Past Syntax: A Human-in-the-Loop Framework for Safe Generative AI in Science Centre de Physique des Particules de Marseille, France The Helmholtz Model Zoo: Enabling AI Model Sharing and Inference in the Helmholtz Cloud Deutsches Elektronen-Synchroton DESY, Germany Improving Reliability of LLM-Based Robotic Task Planning Through Domain Adaptation and Benchmarking ARENA2036, Germany Modelling Urban Air Pollution with a Transferable Probabilistic Machine Learning Approach 1: Helmholtz Zentrum Hereon, Germany; 2: Helmholtz AI Uncertainty-Guided Generation of Dark-Field Radiographs 1: School of Computation, Information and Technology, Technical University of Munich, 85748 Garching, Germany; 2: Munich Center for Machine Learning (MCML), Munich, Germany; 3: Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich, 85764 Neuherberg, Germany; 4: Department of Physics, School of Natural Sciences, Technical University of Munich, 85748 Garching, Germany; 5: Munich Institute of Biomedical Engineering, Technical University of Munich, 85748 Garching, Germany; 6: Institute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM University Hospital Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany; 7: Institute for Advanced Study, Technical University of Munich, 85748 Garching, Germany; 8: School of Biomedical Engineering & Imaging Sciences, King’s College, London, UK SoraCT: Unconditioned 3D CT Synthesis via Video Diffusion Transformers 1: Friedrich-Alexander University Erlangen-Nürnberg, Germany; 2: Department of Computing, Imperial College London, UK A 3D Foundation Model for Generalizable Biological Structure Segmentation in Tissue Clearing Images 1: Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, Munich, Germany; 2: Institute for Intelligent Biotechnologies (iBIO), Helmholtz Center Munich, Neuherberg, Germany; 3: Faculty of Medicine, Ludwig-Maximilians University Munich, Munich, Germany; 4: Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; 5: Munich Medical Research School (MMRS), Munich, Germany; 6: Deep Piction GmbH, Munich, Germany; 7: School of Medicine, Koç University, İstanbul, Turkey M²S³OM-graph: A Hybrid Deterministic-LLM Pipeline for Automated Metadata Crosswalk Extraction and Graph-Grounded Interoperability Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany EO Foundation Models for Pre-Training Dataset Uncertainty Analysis German Aerospace Center, Remote Sensing Technology Institute, Germany FrustrAI-Seq: Scaling Local Energetic Frustration to the Protein Sequence Space 1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany; 3: Barcelona Supercomputing Center, Spain; 4: University College London, United Kingdom muBRAND: Multi-Branch Diffusion for Flexible Generation and Inpainting of Image Series 1: Forschungszentrum Jülich, Germany; 2: Helmholtz AI, Jülich, Germany; 3: C. und O. Vogt Insitut, Universitätsklinikum Düsseldorf, Düsseldorf, Germany; 4: Institute of Computational Visualistics, Koblenz University, Koblenz, Germany Multimodal Analysis of Organoid Network Dynamics Using Multielectrode Arrays and Calcium Imaging Helmholtz Munich, Germany Towards Multimodal Inference of Electron Bunch Structures using Gradient-Based Reconstruction with Differentiable Detector Models 1: Helmholtz-Zentrum Dresden-Rossendorf, Germany; 2: Ludwig-Maximilians-Universität München, Germany; 3: Shanghai Jiao Tong University, China; 4: Center for Advanced Systems Understanding, Germany; 5: Technische Universität Dresden, Germany; 6: Technische Universität Chemitz, Germany NURBSeg: bridging the gap between Mmdical imaging and CAD via end-to-end parametric segmentation 1: German Aerospace Center (DLR), Germany; 2: German Cancer Research Center (DKFZ), Germany From prediction to generation of antigen-specific, full-length T-cell receptors 1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany Provenance-Aware Knowledge Graphs for Reusable PEFC and PEWE Experiments 1: Institute of Energy Technologies (IET-4), Electrochemical Process Engineering, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; 2: Theory and Computation of Energy Materials (IET-3), Institute of Energy Technologies, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; 3: Chair for Theory and Computation of Energy Materials, Faculty of Georesources and Materials Engineering, RWTH Aachen University, 52062 Aachen, Germany; 4: Data Analytics, Access and Applications, Scientific Computing Center (SCC), Karlsruher Institut für Technologie, 76344 Eggenstein-Leopoldshafen, Germany; 5: Helmholtz AI, Karlsruher Institut für Technologie, 76344 Eggenstein-Leopoldshafen, Germany Deep Learning Modeling of RNA Structure Perturbations Induced by Small Molecules 1: Computational Health Center, Helmholtz Munich, Munich, Germany; 2: School of Computation, Information and Technology, Technical University of Munich, Munich, Germany; 3: Department of Molecular Genetics, Groningen Biomolecular Sciences and Biotechnology Institute (GBB), University of Groningen, Groningen, The Netherlands; 4: Equal contributions T-time: Multimodal Manifold Learning for Clonally Constrained Trajectory Inference 1: Helmholtz Munich, Germany; 2: Mila – Quebec AI Institute, Montréal, Canada; 3: Department of Mathematics and Statistics, Université de Montréal End-To-End Protein Engineering With Protein Language Models 1: Institute of Computational Biology, Computational Health Center, Helmholtz Munich, Germany; 2: Department of Bioinformatics and Computational Biology , Technical University of Munich, Germany AI-assisted Labeling and its Pitfalls: A Case Study in Electron Microscopy Segmentation 1: Helmholtz AI, Helmholtz Center Munich, Germany; 2: Institute of Toxicology and Environmental Hygiene, TUM School of Medicine and Health, Technical University of Munich, Germany; 3: Institute of Molecular Toxicology and Pharmacology, Helmholtz Center Munich, Germany Spatial and Temporal Evaluation of Extreme Precipitation in ML-Based Global Weather Forecasts Forschungszentrum Jülich, Germany Recurrent Neural Networks and Tensor Ring Decomposition KU Leuven, Belgium AI and Hierarchical Clustering Techniques for Accurate Patient Stratification 1: Hochschule München, Campus for Health and Engineering, Munich, Germany; 2: PerMediQ, Stuttgart, Germany; 3: University of Stuttgart, HLRS - High Performance Computing Center, Stuttgart, Germany; 4: Klinikum Stuttgart, Stuttgart Cancer Center - Tumorzentrum Eva Mayr-Stihl DE, Stuttgart, Germany; 5: University Hospital Regensburg, Department of Internal Medicine I, Regensburg, Germany SciTracer - the reliable and logically provable autonomous scientific discovery. Unaffiliated, Ukraine Benchmarking for Microscopic Biodiversity Screening (AIMBIS-project) 1: Helmholtz-Centre for Environmental Research GmbH (UFZ), Germany; 2: German Centre for integrative Biodiversity Research e.V. Halle-Jena-Leipzig (iDiv), Germany; 3: Helmholtz-Centre for Polar and Marine Research – AWI, Department/Section Polar Terrestrial Environmental Systems; 4: Helmholtz-Centre for Polar and Marine Research – AWI, Department/Section Polar Biological Oceanography MolecuLA: Learning Molecules As A Language For Generative And Interpretable Chemistry 1: CASUS/Helmholtz-Zentrum Dresden-Rossendorf, Germany; 2: University of Wrocław, Poland Construct-valid and adaptive benchmarks for single-cell RNA-seq via a hierarchical, streaming simulator 1: Chair for Clinical Bioinformatics, Saarland University, Germany; 2: Helmholtz Institute for Pharmaceutical Research Saarland From T-FAKE to TFAN: Reusable Thermal Face Alignment for AI in Scientific Imaging 1: Chair for Clinical Bioinformatics, Saarland University, Germany; 2: Technical University of Berlin, Germany; 3: MPI for Informatics, SIC, Germany; 4: Helmholtz Institute for Pharmaceutical Research, Germany; 5: Equal author contribution From Feature Learning to Neural Collapse: A Data-Dependent Kernel View 1: Helmholtz Munich, Germany; 2: Technical University of Munich, TUM School of Computation, Information and Technology; 3: Faculty of Mathematics, Informatics and Mechanics, University of Warsaw Sparse Autoencoders are Topic Models 1: Helmholtz Munich; 2: Technical University of Munich; 3: Munich Center for Machine Learning Do world models model the world? Helmholtz Munich, Germany Editing the Foundations: Task Arithmetic for 3D Medical Segmentation Foundation Models 1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany; 3: King's College London, UK Spatial transcriptomics-informed inference of cell types and states from nuclear-stained whole slide images. 1: Institute of Computational Biology (ICB), Helmholtz Zentrum München, Munich, Germany; 2: Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Munich, Germany; 3: German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; 4: Munich Cluster of Systems Neurology (SyNergy), Munich, Germany; 5: Institute of Neuronal Cell Biology, Technical University Munich, Munich, Germany Uncertainty Quantification for Medical Image Segmentation HZDR, Germany Fast and Few-Shot: Equipping Scientific LLM Agents with Meta-Learned Surrogates 1: Institute for Advanced Simulations – Materials Data Science and Informatics (IAS-9), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; 2: Chair of Materials Data Science and Materials Informatics, Faculty 5 – Georesources and Materials Engineering, RWTH Aachen University, 52056 Aachen, Germany scooby: modeling multimodal genomic profiles from DNA sequence at single-cell resolution. 1: Technical University of Munich, School of Computation, Information and Technology, Munich, Germany; 2: Helmholtz Center Munich, Computational Health Center, Neuherberg, Germany; 3: Technical University of Munich, Munich Center for Machine Learning, Munich, Germany; 4: Technical University of Munich, Institute of Human Genetics, School of Medicine, Munich, Germany Quantifying the Differential Privacy–Fairness Trade-Off Across Intersectional Subgroups in Structured Prediction Sirr global, Egypt Geospatial Causal Inference for Drought Driver Analysis DLR, Germany When Protein Dynamics Matter: Integrating Molecular Dynamics into Protein Foundation Models jülich forschungszentrum, Germany Toward Automated MRI-Based Screening of Cortical Superficial Siderosis Using Multimodal 3D nnU-Net 1: Institute for Stroke and Dementia Research(ISD), University Hospital, LMU Munich,Munich, Bavaria, Germany; 2: Institute of Computational Biology (ICB), Helmholtz Munich, Neuherberg, Germany Cross-View Latent Integration via Nonparametric Gamma Shrinkage Factor Analysis 1: Institute of AI for Health, Helmholtz Munich; 2: Faculty of Mathematics, Informatics and Mechanics, University of Warsaw; 3: Oncology Data Science, Merck Healthcare KGaA Physics-Guided Diffusion for Neonatal Ultra-Low-Field MRI enhancement 1: University of Bonn, University Hospital Bonn, Clinic for Diagnostic and Interventional Radiology, Germany; 2: University of Bonn, University Hospital Bonn, Department of Experimental Neonatology, Germany; 3: Technical University of Munich, School of Computation, Information and Technology, Germany; 4: Laboratoire Traitement du Signal et de l’Image, Inserm UMR 1099, Universit´ e de Rennes, France Atlas 2 - Foundation Models for Clinical Deployment 1: Aignostics, Germany; 2: Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, US; 3: Department of Radiology, Mayo Clinic, Rochester MN, US; 4: Department of Information Technology, Mayo Clinic, Rochester MN, US; 5: Mayo Clinic, Rochester MN, US; 6: Digital Pathology, Mayo Clinic, Rochester MN, US; 7: Machine Learning Group, Technische Universität Berlin, Germany; 8: BIFOLD – Berlin Institute for the Foundations of Learning and Data, Germany; 9: Department of Artificial Intelligence, Korea University, Republic of Korea; 10: Max-Planck Institute for Informatics, Germany; 11: German Cancer Research Center (DKFZ) & German Cancer Consortium (DKTK), Berlin & Munich Partner Sites, Germany; 12: Institute of Pathology, Ludwig-Maximilians-Universität München, Germany; 13: Institute of Pathology, Charité – Universitätsmedizin Berlin, Germany; 14: Bavarian Cancer Research Center (BZKF), Germany; 15: Helmholtz Munich, Germany; 16: Technical University Munich, Germany EOSC-ARENA: Towards an Open and Ethical GenAI Infrastructure for European Research 1: Scientific Computing Center (SCC), Karlsruhe Institute of Technology (KIT), Eggenstein-Leopoldshafen, 76344,Germany; 2: Research Data Alliance Association - RAD, Belgium; 3: Instituto de Física de Cantabria (IFCA), CSIC-UC, Avda. los Castros s/n, Santander, 39006, Cantabria, Spain; 4: Instituto de Instrumentación para Imagen Molecular (I3M), Centro Mixto CSIC — Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, España; 5: Ethniko Kentro Erevanas Kai Technologikis Anaptyxis - CERTH, Greece; 6: nstitute of Informatics, Slovak Academy of Sciences (IISAS), Dúbravská cesta 9, Bratislava, 84507, Slovakia; 7: Instytut Chemii Bioorganicznej Polskiej Akademii Nauk - PSNC, Poland Multimodal graph-based fusion learning for Alzheimer’s disease prediction 1: Modular High-Performance Computing and Artificial Intelligence, German Center for Neurodegenerative Diseases (DZNE), Bonn, North Rhine-Westphalia, Germany; 2: Systems Medicine, German Center for Neurodegenerative Diseases (DZNE), Bonn, North Rhine-Westphalia, Germany; 3: PRECISE Platform for Genomics and Epigenomics at DZNE and University of Bonn, Bonn, North Rhine-Westphalia, Germany; 4: Life and Medical Sciences (LIMES) Institute, Genomics & Immunoregulation, Bonn, North Rhine-Westphalia, Germany Can Large Language Models Grade Short Free-Text Exam Answers? An Evaluation on Real German Student Data Forschungszentrum Jülich, Germany Pseudo-Anomaly Augmented One-Class Autoencoder and Supervised Deep Learning for Murine ECG Anomaly Detection 1: Helmholtz AI, Helmholtz Center Munich, Germany; 2: Mary Lyon Centre at MRC Harwell, Harwell Campus, United Kingdom; 3: Integrative Physiology/Advanced Technology Cores, Baylor College of Medicine, Texas, United States; 4: Institute of Experimental Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Germany A Physics-Based Machine Learning Workflow for Urban-Scale Residential Heat-Demand Estimation Chair of Methods for Model-based Development in Computational Engineering, RWTH Aachen University, Germany scDigital-Karyotypes: a genomic representation to learn shared variants 1: Max Delbrück Center for Molecular Medicine, Berlin, Germany; 2: Helmholtz AI, Helmholtz Munich, Germany; 3: Department of Nephrology and Hypertension, Hannover Medical School, Hannover, Germany; 4: Charité – Universitätsmedizin Berlin, Germany Semi-Supervised Federated Learning for Medical Image Classification Ozyegin University, Turkey (Türkiye) ECG Template-Based Deep Learning for Amplified P-wave Duration Prediction 1: Karlsruhe Institute of Technology, Germany; 2: University Heart Center Freiburg - Bad Krozingen, Germany; 3: Lucerne Cantonal Hospital, Switzerland; 4: Justus Liebig University Giessen, Germany Reduction of Outflow Boundary Influence on Aerodynamic Performance Using Neural Networks 1: Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Wilhelm-Johnen-Straße 52428 Jülich, Germany; 2: School of Mechanical and Mining Engineering, The University of Queensland, St Lucia 4072, Queensland, Australia; 3: Chair of Fluid Mechanics, University of Siegen, Paul-Bonatz-Straße 9-11, Siegen-Weidenau 57076, Germany; 4: Institute of Technology, Resource and Energy-efficient Engineering (TREE), Bonn-Rhein-Sieg University of Applied Sciences, Grantham-Allee 20, Sankt Augustin 53757, Germany; 5: Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Schloss Birlinghoven, Sankt Augustin 53754, Germany; 6: Institute of Aeronautics and Applied Mechanics, Warsaw University of Technology, Nowowiejska 24, Warszawa 00-665, Poland Rolv.io - Multi-Agent AI For Healthcare And Research 1: Max Delbrück Center (MDC), Germany; 2: Hacettepe University, Turkey Understanding Green Technology Adoption in Germany: A Cluster-Based Analysis of Household-Scale Photovoltaics and Battery Electric Vehicles 1: Institute of Climate and Energy Systems: Energy Systems Engineering (ICE-1), Forschungszentrum Jülich, Germany; 2: Helmholtz AI, Helmholtz Munich, Germany; 3: Institute of Climate and Energy Systems: Jülich Systems Analysis (ICE-2), Forschungszentrum Jülich, Germany; 4: School of Business and Economics, RWTH Aachen University, Germany; 5: Institute for Theoretical Physics, University of Cologne, Germany From Learned Representation To Localization: Towards Semantic Integration Of Microscopic Data In The Human Brain 1: Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Germany; 2: Helmholtz AI, Research Centre Jülich, Germany; 3: Computer Vision, Institute for Computational Visualistics, University of Koblenz, Germany; 4: C. & O. Vogt Institute of Brain Research, University Hospital Düsseldorf, Germany; 5: Department of Physics, University of Wuppertal, Germany AI-assisted Classification of Polar Phytoplankton’s Functional Biodiversity using Multispectral Imaging Flow Cytometry 1: Alfred Wegener Institute, Germany; 2: University of Bremen, Germany Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability 1: Technical University of Munich, Germany; 2: Massachusetts Institute of Technology, United States PFAD Not Taken: Measuring Polysemanticity in Vision Models via Functional Decomposability in Riemannian Vision-Language Geometry 1: TU Munich, Germany; 2: TU Berlin, Germany; 3: Helmholtz Munich, Germany; 4: MCML, Germany; 5: BIFOLD, Germany LEVERAGING MULTI-RATER ANNOTATIONS TO CALIBRATE OBJECT DETECTORS IN MICROSOPY IMAGING Helmholtz AI, Helmholtz Zentrum Muenchen, Germany CytoDiff: AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics Helmholtz Munich, Germany DeepElbe: Multi-Horizon Oxygen Forecasting and Hypoxia Early Warning Using Statistical and Deep Learning Methods Helmholtz-Zentrum Hereon, Germany Cancer-label-free Tumor Segmentation in Whole-mouse Light Sheet Microscopy Images Using Vision-language Models 1: Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, Munich, Germany; 2: Institute for Intelligent Biotechnologies (iBIO), Helmholtz Center Munich, Neuherberg, Germany; 3: Faculty of Medicine, Ludwig-Maximilians University Munich, Munich, Germany; 4: Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; 5: Munich Medical Research School (MMRS), Munich, Germany; 6: Graduate School of Neuroscience (GSN), Munich, Germany; 7: Deep Piction GmbH, Munich, Germany; 8: School of Medicine, Koç University, İstanbul, Turkey Physics-Informed Reconstruction of Electron-Bunch Shapes from CTR Spectra using an Untrained Neural Network 1: Helmholtz-Zentrum Dresden-Rossendorf, Germany; 2: Technische Universität Dresden, Germany; 3: Center for Advanced Systems Understanding, Germany; 4: Technische Universität Chemnitz, Germany Modeling Long Contexts with Hierarchical Compression Transformers Forschungszentrum Jülich, Germany Towards high resolution air quality forecasts for Europe using WGAN-based statistical downscaling with EURAD-IM data 1: Forschungszentrum Jülich, Germany; 2: Quarda Energy GmbH, Germany Data-Driven Identification of Possible Transmission Sites for Carbapenem-Resistant Gram-Negative Bacteria 1: Helmholtz AI, Helmholtz Munich, Germany; 2: Hessian State Office for Health and Care (HLfGP), Germany; 3: Helmholtz Centre for Infection Research, Germany Topological Data Analysis of Single-Cell Multimodal Data 1: Biomedical Center (BMC), Physiological Chemistry, Faculty of Medicine, LMU Munich, Munich, Planegg-Martinsried, Germany; 2: TUM, Germany; 3: Institute of Computational Biology, Computational Health Center, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; 4: Hospital del Mar Research Institute (HMRIB), Barcelona, Spain Are Soft Labels Worth the Effort? Helmholtz, Germany Building a Local AI Agent Assisting with Sensor Observation to Archives Framework (O2A) 1: Alfred-Wegener-Institute for Polar and Marine Research, Data Science, Bremerhaven, Bremen, Germany; 2: Alfred-Wegener-Institute for Polar and Marine Research, Software Engineering, Bremerhaven, Bremen, Germany SEA2LAND Navigator-GPT 1: Hereon, Germany; 2: HELCOM; 3: GERICS; 4: Tallinn University Messanger RNA Untranslated Region Design through Transformers 1: Helmholtz Munich, Institute of Computational Biology, Germany; 2: Faculty of Mathematics, Informatics and Mechanics, University of Warsaw Semantic Equilibrium Decoding for Open-Ended Medical Visual Question Answering 1: FAU Erlangen-Nürnberg, Germany; 2: Imperial College London, UK; 3: UCL, UK Single Cell PBMC Analysis Shows Cell Type Specific Changes On Inflammation In Both Depressed And Non-Depressed Individuals 1: Helmholtz AI, Helmholtz Zentrum München, Germany; 2: Max Planck Institute of Psychiatry, München, Germany Advancing Sea Ice Surface Classification by Self-Supervised Contrastive Learning for Radar Altimetry 1: Section for Sea Ice Physics, Alfred Wegener Institute, Germany; 2: Earth Observation Center, German Aerospace Center, Germany; 3: Institute of Software Technology, German Aerospace Center, Germany; 4: Earth and Environmental Engineering, Columbia University, USA; 5: Center for Industrial Mathematics, Bremen University, Germany Analytic model-informed representations for sample-efficient learning of scattering patterns Forschungszentrum Jülich GmbH, Germany Imbalanced Classification with Quantum Kernel Alignment 1: German Cancer Research Center, Germany; 2: Heidelberg University; 3: Fraunhofer IKS, LMU Munich Syxplain: An Agentic Framework for Explainable Scientific Hypothesis Generation from Data 1: HUN-REN, Hungary; 2: Obuda University, Hungary Jülich Neutron Agent (JüNA): Vitess AI Agent Jülich Centre for Neutron Science (JCNS), FZ Jülich, Germany HPC Strategies for Fourier Neural Operators in Particle-In-Cell Plasma Simulations Forschungszentrum Juelich, Germany Diagnosing and Fixing Training Bottlenecks: A Case Study of a Foundation Model 1: Jülich Supercomputing Centre, Forschungszentrum Jülich, 52428 Jülich, Germany; 2: ECMWF, 53175 Bonn, Germany Advancing Explainability as a Differentiator in Machine Learning prediction models for Alzheimer’s Disease 1: Modular HPC and AI, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; 2: Systems Medicine, German Center for Neurodegenerative Diseases (DZNE) e.V., 53127 Bonn, Germany; 3: PRECISE Platform for Genomics and Epigenomics at DZNE and University of Bonn, 53127 Bonn, Germany Improving Pedestrian Detection through Temporal Movement Estimations German Aerospace Center (DLR), Germany Neural Networks as Varieties Forschungszentrum Jülich, Germany Surrogate Models for Severe Nuclear Accidents 1: Helmholtz AI, Germany; 2: Karlsruhe Institute of Technology, Germany Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs 1: Helmholtz Zentrum München, Germany; 2: Technical University of Munich, Germany; 3: Munich Center for Machine Learning, Germany; 4: Télécom Paris, France; 5: Google, Switzerland Helixer – a tool for ab initio gene calling combining Deep Learning and a Hidden Markov Model 1: Forschungszentrum Jülich, Germany; 2: Heinrich Heine Univsersität Düsseldorf, Germany; 3: Cluster of Excellence on Plant Sciences (CEPLAS), Germany; 4: Recursion, Valence Labs, Canada metabeta - A fast neural model for Bayesian mixed-effects regression Human-Centered AI, Helmholtz Munich, Germany Meta-Learning for Phenotypic Drug Discovery with Transformer Neural Processes 1: Institute of AI for Health, Helmholtz Munich; 2: School of Computation, Information and Technology, Technical University of Munich; 3: Helmholtz AI; 4: Munich Center for Machine Learning; 5: Faculty of Mathematics, Informatics and Mechanics, University of Warsaw; 6: Department of Computer Science and Artificial Intelligence, University of Technology Nuremberg Agentic Data Extraction and Dynamic Knowledge Graph Construction for Hydrogen Technology Research 1: Theory and Computation of Energy Materials (IET-3), Institute of Energy Technologies, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; 2: Centre for Advanced Simulation and Analytics (CASA), Simulation and Data Science Lab for Energy Materials (SDL-EM), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; 3: Chair for Theory and Computation of Energy Materials, Faculty of Georesources and Materials Engineering, RWTH Aachen University, Germany Diagnosing Shortcuts in Traffic Video Question Answering Datasets 1: Technical University of Munich, Germany; 2: Helmholtz Zentrum München, Germany; 3: Munich Center for Machine Learning, Germany DREAMS: Preserving both Local and Global Structure in Dimensionality Reduction 1: Hertie Institute for AI in Brain Health, Germany; 2: University of Tübingen, Germany Factor dependencies and their associations with covariates in multimodal factor analysis 1: University of Warsaw, Poland; 2: Helmholtz Center Munich, Germany An Exchange Correlation Potential Database for Density Functional Machine Learning 1: Helmholtz Zentrum Dresden Rossendorf, Germany; 2: Center for Advanced Systems Understanding Discovering Interpretable Visual Concepts in Monkey Visual Cortex Using Sparse Autoencoders 1: Institute of Computational Biology, Computational Health Center, Helmholtz Munich, Germany; 2: Department of Experimental Psychology, University of Oxford, UK Incremental learning for continuous forest disturbance mapping using AlphaEarth embeddings GFZ Helmholtz Centre for Geosciences, Germany Multimodal Machine Learning for Postoperative Atrial Fibrillation Prediction 1: Karlsruhe Institute of Technology, Germany; 2: Medical Faculty Mannheim, Germany; 3: University Hospital Heidelberg, Germany FrevaGPT: An LLM-Powered Assistant for Reproducible Climate Analysis 1: GFZ Helmholtz Centre for Geosciences, Germany; 2: German Climate Computing Center DKRZ, Germany; 3: Universität Hamburg, Germany; 4: Climate Service Center Germany (GERICS), Germany Mind The Gap: Continuous Magnification Sampling For Pathology Foundation Models 1: Technical University Berlin, Germany; 2: Berlin Institute for the Foundations of Learning and Data; 3: Aignostics Gmbh; 4: Charité, Universitätsmedizin Berlin Grounding Large Language Models in Formal Solvers via Unified Planning: Towards High-Accuracy Natural Language Planning Hybrid Methods in Artificial Intelligence and Machine Learning, University of Rostock, Germany A decentralized Swarm Learning framework for 90-Day outcome prediction for acute ischaemic stroke 1: DZNE, Germany; 2: CISPA, Germany Post-training makes large language models less human-like Helmholtz Munich, Germany Multiscale Orthogonal Phenotype Detection in Multiplexed Spatial Datasets 1: Helmholtz Munich, Germany; 2: Technical University of Munich; 3: Aarhus University A Domain-Specialized Multimodal Foundation Model for Interpreting Sentinel-2 True Color Imagery in Flood Disaster Response DLR, Germany A Hematology Foundation Model Enables Blood Cancer Screening from Peripheral Blood Smears 1: Helmholtz Munich, Germany; 2: Munich Leukemia Laboratory Surrogate Modeling of Scale-Bridging Dislocation-Driven Plasticity through Latent Dynamics and Microstructure Descriptors 1: Institute for Advanced Simulations – Materials Data Science and Informatics (IAS-9) Forschungszentrum Jülich GmbH 52425 Jülich, Germany; 2: Chair of Materials Data Science and Materials Informatics, Faculty 5 Georesources and Materials Engineering, RWTH Aachen University 52056 Aachen, Germany Neural Quasiprobabilistic Likelihood Ratio Estimation 1: DESY, Germany; 2: New York University, USA; 3: University of Wisconsin-Madison, USA NVIDIA Earth-2: Open Models, Accessible Hardware, and the Future of AI for Weather and Climate NVIDIA Corporation Anomaly Detection in Prediction Markets: Identifying Coordinated Information Advantage Stelia, United Kingdom Amortized Bayesian Multilevel Model of Bacterial Cell-Cycle with BayesFlow 1: Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, Germany; 2: Department of Biology, University of Toronto, Mississauga, ON, Canada; 3: Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada Exploring the Effectiveness of Pretraining Task Alignment for Self-Supervised Learning in a Low-Data Regime 1: Institute for Advanced Simulations — Materials Data Science and Informatics (IAS-9), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany; 2: Chair of Materials Data Science and Materials Informatics, Faculty 5 — Georesources and Materials Engineering, RWTH Aachen University, 52056 Aachen, Germany Taming Multimodal Posteriors over Rotations: A Geometric Approach to Bayesian Alignment in Cryo-EM and Beyond 1: Helmholtz Institute Jena, Germany; 2: GSI Helmholtzzentrum für Schwerionenforschung, Germany; 3: Friedrich Schiller University Jena, Germany; 4: Fraunhofer Institute for Applied Optics and Precision Engineering, Germany; 5: University Hospital Jena, Germany; 6: Max Plank Institute for Multidisciplinary Sciences, Germany Sample Efficient Generative Molecular Optimization with Joint Self-Improvement 1: Helmholtz Munich, Germany; 2: Technical University of Munich, TUM School of Computation, Information and Technology; 3: Technical University of Munich, Campus Straubing for Biotechnology and Sustainability; 4: University of Applied Sciences Weihenstephan Triesdorf; 5: Faculty of Mathematics, Informatics and Mechanics, University of Warsaw Assessing the Performance–Efficiency Trade-off of Foundation Models in Probabilistic Electricity Price Forecasting Karlsruhe Institute of Technology, Germany Mind the Gap – From expectation to reality in agentic AI 1: Helmholtz Munich, Germany; 2: German Center for Diabetes Research, Germany Genomic language model based prediction of transcription start sites in twelve yeast species 1: Computation Molecular Medicine, School of Computation, Information and Technology, TU Munich, Germany; 2: Computational Health Center, Helmholtz Center Munich, Germany |
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| 6:00pm - 9:00pm |
Food & Networking Reception Location: i-Track |
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| 7:00am - 7:45am |
HAICON Run Location: Corner of Ludwigsbrücke & Rosenheimer Straße |
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| 8:30am - 9:00am |
Registration Location: JOIN Lounge |
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| 8:30am - 6:00pm |
Child Care Location: Konferenz 4 |
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| 9:00am - 10:30am |
Session 2a: Robust & Multi-modal Learning Location: LAB Lounge Chair: Hannah Spitzer, Helmholtz Munich Differentiable Wave-Optics for Single-Shot X-Ray Phase-Contrast Imaging of Plasma Targets 1: Helmholtz-Zentrum Dresden-Rossendorf, Germany; 2: Center for Advanced Systems Understanding, Germany; 3: Technische Universität Dresden, Germany; 4: European XFEL, Germany; 5: Technische Universität Chemnitz, Germany 9:14am - 9:28am Performance Bounds for Reliability and Hallucination Risk in Remote-Sensing Super-Resolution 1: German Aerospace Center (DLR), Remote Sensing Technology Institute, Germany; 2: Ecole Polytechnique, Department of Applied Mathematics, Paris, France. 9:28am - 9:42am CaMoEMMIL: Clustering-Aware Mixture Of Experts For Multimodal Multiple Instance Learning In Lung Transplantation Helmholtz Munich, Germany 9:42am - 9:56am Modelling Patient Variation Across Datasets And Diseases With Contrastive Learning On Single-Cell Data 1: Institute of Computational Biology, Computational Health Center, Helmholtz Munich, Munich, Germany; 2: School of Computing, Information and Technology, Technical University of Munich, Munich, Germany.; 3: TUM School of Life Sciences Weihenstephan, Technical University of Munich, Germany.; 4: Comprehensive Pneumology Center (CPC) with the CPC-M bioArchive and Institute of Lung Health and Immunity, Helmholtz Munich, Member of the German Center for Lung Research (DZL), Munich, Germany. 9:56am - 10:10am No Data? No Problem: Robust Vision-Tabular Learning with Missing Values 1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany; 3: Telecom Paris, France; 4: King's College London, UK 10:10am - 10:30am Invited talk Reliable and Sustainable AI for Scientific Discovery LMU Munich, Germany |
Session 2b: Domain-informed Methods Location: GERN Stage Chair: Steffen Schneider, Helmholtz Munich Bridging Scales: Adapting Human 3D Foundation Models for Mouse Micro-CT Phenotyping Max-Delbrück-Centrum für Molekulare Medizin in der Helmholtz-Gemeinschaft, Germany 9:14am - 9:28am TiViT: Time Series Representations Lie Hidden in Pretrained Vision Transformers 1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany; 3: Munich Center for Machine Learning, Germany; 4: Munich Data Science Institute, Germany; 5: Paris Noah’s Ark Lab, France 9:28am - 9:42am Physics-Aligned Self-Supervised Learning for Scientific Imaging 1: Institute for Advanced Simulation—Materials Data Science and Informatics (IAS-9), Forschungszentrum Jülich, Germany; 2: Chair of Materials Data Science and Materials Informatics, Faculty 5—Georesources and Materials Engineering, RWTH Aachen University, 9:42am - 9:56am MADRNA: A Physics-Informed Machine-Learned Coarse-Grained Force Field for RNA 1: Forschungszentrum Jülich (FZJ), Germany; 2: Deutsches Zentrum für Luft- und Raumfahrt (DLR), Germany; 3: Karlsruhe Institute of Technology, Germany 9:56am - 10:10am Inverse Design of Multilayer Thin Films using Robust Deep Learning 1: Helmholtz Centre for Materials and Energy, Germany; 2: Zuse Institute Berlin, Germany; 3: Scientific Computing Center, Germany; 4: HTW Berlin, Germany; 5: Helmholtz AI, Germany 10:10am - 10:30am Invited talk AI-quifer – Predicting Offshore Groundwater Occurrences through the Application of Artificial Intelligence 1: GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany; 2: UFZ, Helmholtz Centre for Environmental Research, Germany; 3: Helmholtz Centre Hereon, Germany |
| 10:30am - 11:00am |
Coffee break Location: GERN/i-Track |
Speed Networking II Location: Networking Area i-Track Chair: Lisa Barros de Andrade e Sousa, Helmholtz Munich, Helmholtz AI Chair: Mayra Marin, Helmholtz Munich, Helmholtz AI |
| 11:00am - 12:30pm |
AI Research across Bavaria - co-organized by BAIOSPHERE Location: LAB Lounge Chair: Michael Klimke, BAIOSPHERE AGENCY AI and Future of Medicine Technical University of Munich, Germany Invited talk Deep Graph Learning for Temporal Data University of Würzburg, Germany Invited talk Neurosymbolic Models of Uncertainty and Logical Reasoning Universität Augsburg, Germany |
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| 12:30pm - 12:45pm |
Announcement of 2025 Project Call Awardees Location: LAB Lounge Chair: Hannah Spitzer, Helmholtz Munich |
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| 12:45pm - 2:15pm |
Lunch Location: GERN/i-Track |
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| 2:15pm - 3:15pm |
Session 3a: Foundation Models for Science Location: LAB Lounge Chair: Hannah Spitzer, Helmholtz Munich Invited talk Rethinking the Foundations of Weather and Climate Modelling FZJ, Germany 2:35pm - 2:48pm A Multi-Sensor Foundation Model for Earth Observation 1: German Aerospace Center (DLR), Germany; 2: Technical University of Munich (TUM), Germany; 3: University of the Bundeswehr Munich, Germany; 4: Universite Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, France 2:48pm - 3:01pm OneProtGPT: Bridging Protein Embeddings and Large Language Models for Protein Understanding Jülich Supercomputing Centre, Forschungszentrum Jülich, 52428 Jülich, Germany 3:01pm - 3:14pm AMPFormer: A Peptide Foundation Model for Antimicrobial Discovery 1: Institute of AI for Health, Helmholtz Zentrum Munchen; 2: Technical University of Munich, TUM School of Computation, Information and Technology; 3: Faculty of Mathematics, Informatics and Mechanics, University of Warsaw; 4: University of Pennsylvania, Philadelphia, PA, USA. |
Session 3b: Generative AI Location: GERN Stage Chair: Steffen Schneider, Helmholtz Munich Invited talk AI for Fundamental Physics: Learning from Big Data at the LHC DESY, Germany 2:35pm - 2:48pm Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models 1: TUM, Germany; 2: University of Oxford, United Kingdom; 3: King’s College London, United Kingdom; 4: Microsoft Research, United States 2:48pm - 3:01pm SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis 1: LMU Munich; 2: Munich Center for Machine Learning (MCML) 3:01pm - 3:14pm Stitch: Training-Free Position Control in Multimodal Diffusion Transformers 1: Helmholtz Munich, Germany; 2: Technical University of Munich; 3: University of Copenhagen |
| 3:15pm - 3:30pm |
Poster Spotlight Talks III Location: LAB Lounge Chair: Hannah Spitzer, Helmholtz Munich The Mean is the Mirage: Entropy-Adaptive Model Mergingunder Heterogeneous Domain Shifts in Medical Imaging 1: School of Computation, Information and Technology, Technical University of Munich, Germany; 2: Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich, Germany; 3: relAI – Konrad Zuse School of Excellence in Reliable AI; 4: Munich Center for Machine Learning (MCML); 5: Institute of Pathology, Technical University of Munich, Germany; 6: School of Biomedical Engineering and Imaging Sciences, King’s College London, UK. 3:18pm - 3:21pm ConvexGating infers gating strategies from clusters in single cell cytometry data 1: University of Leipzig, Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig, Germany; 2: Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Leipzig, Germany; 3: Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; 4: Modular High Performance Computing and Artificial Intelligence, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; 5: Research Group Tissue Control of Immunocytes, Helmholtz Center Munich, Munich, Germany; 6: Life and Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany; 7: PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE and University of Bonn and West German Genome Center (WGGC), Bonn, Germany; 8: Immunogenomics & Neurodegeneration, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; 9: Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia; 10: Molecular Immunology in Neurodegeneration, German Center for Neurodegenerative Diseases and the University of Bonn, Germany; 11: Medical Microbiology and Immunology Department, Faculty of Medicine, Mansoura University, Egypt; 12: Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, Bonn, Germany; 13: Max Planck Institute for Metabolism Research, Center for Endocrinology, Diabetes and Preventive Medicine (CEDP), Cologne, Germany; 14: University of Leipzig, Faculty of Mathematics and Computer Science, Leipzig, Germany; 15: Institute of Computational Biology, Helmholtz Center Munich, Germany; 16: Department of Mathematics, Technical University of Munich, Germany; 17: TUM School of Life Sciences Weihenstephan, Technical University of Munich, Germany 3:21pm - 3:24pm From Drop-off to Recovery: A Mechanistic Analysis of Segmentation in MLLMs 1: Technical University of Munich, Germany; 2: Helmholtz Munich, Germany; 3: Munich Center for Machine Learning (MCML), Germany 3:24pm - 3:27pm Cross Modalities Pretraining of Sparse Lidar and Dense Image Foundation Model for Global Carbon Stock Mapping 1: Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany; 2: Chair of Data Science in Earth Observation, Technical University of Munich, Munich, Germany 3:27pm - 3:30pm ICD-Code Extraction from Clinical Notes using Large Language Models in a RAG pipeline 1: Hybrid Methods in Artificial Intelligence and Machine Learning, University of Rostock, Germany; 2: German Center for Neurodegenerative Diseases, Rostock, Germany |
Poster Spotlight Talks IV Location: GERN Stage Chair: Steffen Schneider, Helmholtz Munich Causal Machine Learning for Predictive Biomarker Discovery and Subgroup Refinement in Metastatic Colorectal Cancer 1: Department of Biochemistry and Pharmacology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Australia; 2: Department of Medicine III and Comprehensive Cancer Center Munich, University Hospital, Ludwig-Maximilians University Munich, Germany; 3: Comprehensive Cancer Center Munich, Germany; 4: German Cancer Consortium (DKTK), partner site Munich, German Cancer Research Center (DKFZ), Germany; 5: LMU Munich School of Management, LMU Munich, Germany; 6: Munich Center for Machine Learning, Germany; 7: Computational Health Center, Institute of Computational Biology, Helmholtz Munich, Germany 3:18pm - 3:21pm Neural Operator-Based Surrogate Modeling for Efficient Prediction of Temperature and Residual Stresses in Tempered Glass Universität Augsburg, Germany 3:21pm - 3:24pm GRIP: Physics-Informed Neural Network for Gradient Retention Time Prediction in Liquid Chromatography 1: Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research (HZI), Germany; 2: German Research Center for Artificial Intelligence (DFKI) Kaiserslautern 3:24pm - 3:27pm Who Owns Human Experience? Ethical Implications of Transforming Tacit Knowledge into Neural Models 1: University Augsburg, Germany; 2: ergonoi GbR 3:27pm - 3:30pm Towards Useful and Private Synthetic Omics: Community Benchmarking of Generative Models for Transcriptomics Data 1: European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany; 2: Division of Computational Genomics and Systems Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany; 3: CISPA Helmholtz Center for Information Security, Saarbrücken, Germany; 4: University of Helsinki, Finland; 5: Heidelberg University, Germany; 6: Helmholtz Munich, Germany; 7: Division of Tumorigenesis and Molecular Cancer Prevention, German Cancer Research Center (DKFZ), Heidelberg, Germany; 8: DKFZ Hector Cancer Institute at the University Medical Center Mannheim, Germany; 9: Eberhard Karls Universität Tübingen, Germany; 10: University of Washington Tacoma, USA; 11: Sage Bionetworks, Seattle, USA; 12: Ghent University, Ghent, Belgium; 13: European Bioinformatics Institute (EMBL-EBI), UK |
| 3:30pm - 4:00pm |
Coffee break Location: GERN/i-Track |
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| 4:00pm - 6:00pm |
Poster Session II Location: JOIN Lounge HemAutomaton: A lightweight NCA-based pipeline for large-scale extraction of white blood cells from whole slide images 1: Helmholtz Munich, Germany; 2: Universitätsklinikum Erlangen, Germany DeepRVAT2: Unified Modeling of Coding and Regulatory Rare Variation at Genome Scale for Enhanced Gene Discovery and Diagnostics 1: Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany; 2: chool ofComputation, Information and Technology, Technical University of Munich, Garching, Germany; 3: Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany; 4: German Cancer Research Center (DKFZ), Heidelberg, Germany; 5: European Molecular Biology Laboratory (EMBL), Heidelberg, Germany; 6: Heidelberg University, Germany The Mean is the Mirage: Entropy-Adaptive Model Mergingunder Heterogeneous Domain Shifts in Medical Imaging 1: School of Computation, Information and Technology, Technical University of Munich, Germany; 2: Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich, Germany; 3: relAI – Konrad Zuse School of Excellence in Reliable AI; 4: Munich Center for Machine Learning (MCML); 5: Institute of Pathology, Technical University of Munich, Germany; 6: School of Biomedical Engineering and Imaging Sciences, King’s College London, UK. ConvexGating infers gating strategies from clusters in single cell cytometry data 1: University of Leipzig, Institute for Medical Informatics, Statistics, and Epidemiology, Leipzig, Germany; 2: Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Leipzig, Germany; 3: Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; 4: Modular High Performance Computing and Artificial Intelligence, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; 5: Research Group Tissue Control of Immunocytes, Helmholtz Center Munich, Munich, Germany; 6: Life and Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany; 7: PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE and University of Bonn and West German Genome Center (WGGC), Bonn, Germany; 8: Immunogenomics & Neurodegeneration, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; 9: Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia; 10: Molecular Immunology in Neurodegeneration, German Center for Neurodegenerative Diseases and the University of Bonn, Germany; 11: Medical Microbiology and Immunology Department, Faculty of Medicine, Mansoura University, Egypt; 12: Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, Bonn, Germany; 13: Max Planck Institute for Metabolism Research, Center for Endocrinology, Diabetes and Preventive Medicine (CEDP), Cologne, Germany; 14: University of Leipzig, Faculty of Mathematics and Computer Science, Leipzig, Germany; 15: Institute of Computational Biology, Helmholtz Center Munich, Germany; 16: Department of Mathematics, Technical University of Munich, Germany; 17: TUM School of Life Sciences Weihenstephan, Technical University of Munich, Germany From Drop-off to Recovery: A Mechanistic Analysis of Segmentation in MLLMs 1: Technical University of Munich, Germany; 2: Helmholtz Munich, Germany; 3: Munich Center for Machine Learning (MCML), Germany Cross Modalities Pretraining of Sparse Lidar and Dense Image Foundation Model for Global Carbon Stock Mapping 1: Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany; 2: Chair of Data Science in Earth Observation, Technical University of Munich, Munich, Germany ICD-Code Extraction from Clinical Notes using Large Language Models in a RAG pipeline 1: Hybrid Methods in Artificial Intelligence and Machine Learning, University of Rostock, Germany; 2: German Center for Neurodegenerative Diseases, Rostock, Germany Causal Machine Learning for Predictive Biomarker Discovery and Subgroup Refinement in Metastatic Colorectal Cancer 1: Department of Biochemistry and Pharmacology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Australia; 2: Department of Medicine III and Comprehensive Cancer Center Munich, University Hospital, Ludwig-Maximilians University Munich, Germany; 3: Comprehensive Cancer Center Munich, Germany; 4: German Cancer Consortium (DKTK), partner site Munich, German Cancer Research Center (DKFZ), Germany; 5: LMU Munich School of Management, LMU Munich, Germany; 6: Munich Center for Machine Learning, Germany; 7: Computational Health Center, Institute of Computational Biology, Helmholtz Munich, Germany Neural Operator-Based Surrogate Modeling for Efficient Prediction of Temperature and Residual Stresses in Tempered Glass Universität Augsburg, Germany GRIP: Physics-Informed Neural Network for Gradient Retention Time Prediction in Liquid Chromatography 1: Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research (HZI), Germany; 2: German Research Center for Artificial Intelligence (DFKI) Kaiserslautern Who Owns Human Experience? Ethical Implications of Transforming Tacit Knowledge into Neural Models 1: University Augsburg, Germany; 2: ergonoi GbR Towards Useful and Private Synthetic Omics: Community Benchmarking of Generative Models for Transcriptomics Data 1: European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany; 2: Division of Computational Genomics and Systems Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany; 3: CISPA Helmholtz Center for Information Security, Saarbrücken, Germany; 4: University of Helsinki, Finland; 5: Heidelberg University, Germany; 6: Helmholtz Munich, Germany; 7: Division of Tumorigenesis and Molecular Cancer Prevention, German Cancer Research Center (DKFZ), Heidelberg, Germany; 8: DKFZ Hector Cancer Institute at the University Medical Center Mannheim, Germany; 9: Eberhard Karls Universität Tübingen, Germany; 10: University of Washington Tacoma, USA; 11: Sage Bionetworks, Seattle, USA; 12: Ghent University, Ghent, Belgium; 13: European Bioinformatics Institute (EMBL-EBI), UK Multimodal Representation Learning for Pan-Cancer Type Classification Using Attention-Based Set Encoding and Contrastive Pre-Training Max Delbrück Center for Molecular Medicine, Germany Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities 1: Forschungszentrum Jülich, Germany; 2: Department of Statistics, LMU Munich; 3: Munich Center for Machine Learning (MCML) Simple Yet Effective: Basic Population and Evolutionary Statistics Contain Richest Information to Infer Systematic Variant Effects 1: 1Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; 2: School of Computation, Information and Technology, Technical University of Munich, Garching, Germany; 3: Helmholtz Association—Munich School for Data Science (MUDS), Munich, Germany; 4: Helmholtz Pioneer Campus, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; 5: Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, Ludwig Maximilian University Munich, Munich, Germany Bringing Gaps between Farmers and AI with XAI Principles 1: German Aerospace Center (DLR), Germany; 2: German Aerospace Center (DLR), Germany; 3: German Aerospace Center (DLR), Germany Abstracts Explorer: LLM-Powered Semantic Exploration of Scientific Conference Proceedings Helmholtz Zentrum Dresden Rossendorf (HZDR), Germany Systematic benchmarking of imaging-based spatial transcriptomics preprocessing 1: Institute of Computational Biology, Helmholtz Munich, Germany; 2: Institute of Lung Health and Immunity, Helmholtz Munich, Germany; 3: Indiana University School of Medicine Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases 1: Technical University of Munich, Germany; 2: University of Trento, Italy; 3: Imperial College London, United Kingdom; 4: Helmholtz Munich, Germany; 5: King's College London, United Kingdom Geometry-Aware Edge Pooling for Graph Neural Networks 1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany; 3: University of Montreal, Canada; 4: Mila - Quebec Artificial Intelligence Institute, Canada; 5: University of Fribourg, Switzerland Phenotype-driven virtual screening accelerates therapeutic discovery for idiopathic pulmonary fibrosis 1: Helmholtz Munich; 2: Faculty of Mathematics, Informatics and Mechanics, University of Warsaw Machine Learning-based RNA Design for the Development of Efficient mRNA Therapeutics Helmholtz Munich, Computational Health Center, Computational Biology (ICB), Germany Reinterpreting Protein Sequences as Structured Signals: A CNN-Residual Approach to Neuropeptide Classification 1: Federal University of Technology-Paraná, Brazil; 2: Helmholtz Centre for Environmental Research, Deutschland Extracting 1D JWST Spectra from 2D Spectrograms with Deep Learning 1: Centre de Physique des Particules de Marseille, France; 2: Laboratoire d'Informatique et des Systèmes, Marseille, France Segmentation of glands in big cohort data by deep learning Universitätsmedizin Greifswald, Germany Subclass-Conditioned Flow Matching for Long-Tailed Chest X-Ray Augmentation 1: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany; 2: Imperial College London, UK MoA: Mixture of Aggregators Improves Slide-Level Diagnosis in Computational Pathology 1: Helmholtz Munich, Germany; 2: TUM; 3: LMU Topic Modeling and Opinion Analysis of Hyperloop Discussions on Twitter Using Latent Dirichlet Allocation 1: University of Stuttgart , Germany; 2: University of Southern California, USA; 3: Boston University, USA; 4: ARENA2036 e.V.; 5: University of Mumbai, India; 6: Hochschule Bremen, Germany; 7: Swinburne University of Technology, Melbourne, Australia Sentiment Analysis of Indian Hyperloop Tweets for Opinion Inversion Prediction 1: University of Stuttgart, Germany; 2: University of Southern California, USA; 3: Boston University, USA; 4: ARENA2036, Germany; 5: Deakin University; 6: Swinburne University of Technology, Australia; 7: University of Mumbai, India Test-time augmentation with synthetic data addresses distribution shifts in spectral imaging 1: Division of Intelligent Medical Systems (IMSY), German Cancer Research Center (DKFZ), Heidelberg, Germany; 2: Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany; 3: Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany; 4: Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany; 5: National Center for Tumor Diseases (NCT), A Partnership between DKFZ and University Medical Center Heidelberg, Heidelberg, Germany; 6: Department of Urology, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany; 7: Medical Faculty, Heidelberg University, Heidelberg, Germany Physics-Aware Implicit Neural Representations for Extreme Compression of Coherent X-ray Holographic Data 1: Deutsches Elektronen-Synchrotron DES, Germany; 2: Department Physik, Universität Hamburg UHH, Germany; 3: HELMHOLTZ IMAGING SplineFlow: Flow Matching for Dynamical Systems with B-Spline Interpolants CISPA Helmholtz Center for Information Security, Germany Optimal conversion from Rényi Differential Privacy to $f$-Differential Privacy 1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany; 3: Harvard University, USA; 4: Hasso-Plattner-Institut, Germany SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport 1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany; 3: Munich Center for Machine Learning, Germany; 4: Munich Data Science Institute, Germany; 5: Télécom Paris, France; 6: École Polytechnique, France AtlasAlign: PointTransformer-based alignment of spatial omics to mouse brain common coordinate framework 1: Technical University of Munich (TUM), Germany; 2: Institute for Stroke and Dementia Research (ISD), Germany; 3: Institute of Neuroscience and Medicine (INM-1) Forschungszentrum Jülich, Germany; 4: Institute of Computational Biology, Helmholtz Munich, Germany UdonPred: Untangling Protein Intrinsic DisorderPrediction 1: School of Computation, Information and Technology (CIT), Faculty of Informatics, Chair of Bioinformatics & Computational Biology - i12, Technical University of Munich (TUM), Boltzmannstr. 3, 85748 Garching/Munich, Germany; 2: Institute of Computational Biology (ICB), Helmholtz München, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany; 3: Translational Microbiome Data Integration, School of Life Sciences, Technical University of Munich (TUM), Alte Akademie 8, 85354 Freising, Germany; 4: Institute for Advanced Study (TUM-IAS), Technical University of Munich (TUM), Lichtenbergstr. 2a, 85748 Garching/Munich, Germany; 5: School of Life Sciences Weihenstephan (TUM-WZW), Technical University of Munich (TUM), Alte Akademie 8, 85354 Freising, Germany Fused Transformer Blocks Improve Pretraining Efficiency and Contextual Language Understanding factorize.bio, Germany Persona Vectors: Steering Towards Faithful Verbalized Uncertainty Expression in LLMs 1: Helmholtz AI, Munich; 2: Technical University of Munich; 3: University of Toronto; 4: Technical University of Nuremberg Scalable and interpretable representation alignment with ordinal similarity 1: Helmholtz Munich, AIH, Germany; 2: Technical University of Munich, Germany; 3: University of Warsaw, Poland Multimodal Data-driven Transfer Learning Impelled Framework for Spatiotemporal Forecasting of Urban Pollution (PM2.5) Research Institute for Sustainability, Germany A Hierarchical Bayesian Multiple Instance Learning Framework for Joint Localization and Testing of Spatial Differential Expression 1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany; 3: Regensburg University, Germany; 4: ETH Zurich, Switzerland Streamlined Training and Deployment of PEFT Adapters for LLMs in HPC-Cloud Hybrid Environments Helmholtz Zentrum Dresden Rossendorf, Germany Speed or Sophistication? Benchmarking YOLOv11 and VLMs in Intelligent Traffic Systems Future Processing, Poland Trustworthy Deep Surrogates for Inverse Materials Design with Calibrated Uncertainty 1: Institute for Advanced Simulations - Materials Data Science and Informatics (IAS-9), Forschungszentrum Jülich GmbH; 2: Chair of Materials Data Science and Materials Informatics, Faculty 5 – Georesources and Materials Engineering, RWTH Aachen University In-Model Bias Mitigation Methods for Age Confounding in Dementia Detection 1: Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Rostock, Germany; 2: Klinik für Psychosomatische Medizin und Psychotherapie (KPM), Universitätsmedizin Rostock, Germany Modeling Neuro–Behavioral State Dynamics from Longitudinal Multimodal Recordings 1: Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE), Germany; 2: Helmholtz Munich, Neuherberg, Germany; 3: University of Bonn, Medical Faculty, Bonn, Germany Consistent Representation Learning for Modeling Neuro-Behavioral State Dynamics 1: Helmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt ( GmbH ) Germany; 2: German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; 3: University of Bonn, Medical Faculty, Bonn, Germany; 4: Munich Center for Machine Learning Self-supervised Denoising Of Raw Tomography Detector Data For Improved Image Reconstruction Helmholtz-Zentrum Dresden - Rossendorf e. V., Germany Machine Learning-Guided Discovery of Small Molecule Inhibitors Targeting PD-L1 for Cancer Immunotherapy 1: Middle East Technical University (Türkiye); 2: University of Chemistry and Technology, Prague (Czechia) An HPC-Based Kubernetes Cluster for Next-Generation Scientific Computing 1: Helmholtz-Zentrum Dresden-Rossendorf, Germany; 2: Center for Advanced Systems Understanding (CASUS) Semantic Harmonization of Noisy Medical Imaging Cohorts via Vision-Language Model 1: Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany; 2: Imperial College London, UK; 3: University of Zurich, Switzerland; 4: ETH Zurich, Switzerland; 5: Istanbul Medipol University, Turkey Enhancing Clinical Immunology and Disease Diagnostics with Global Swarm Learning 1: DZNE, Germany; 2: Calico Life Sciences; 3: Hewlett Packard Enterprise, Houston, Texas, USA; 4: The Global Swarm Learning Group Flow-aware Latent Diffusion for Synthetic Temporal Angiography 1: LMU Munich, Germany; 2: Heidelberg University, Germany MatBind: Probing the multimodality of materials science with contrastive learning 1: Institute for Advanced Simulations (IAS-9), Forschungszentrum Jülich GmbH, Germany; 2: Helmholtz Institute for Polymer in Energy Applications Jena, Germany; 3: Institute of Nanotechnology, Karlsruhe Institute of Technology, Germany; 4: University of Cologne, Germany; 5: RWTH Aachen University, Germany; 6: Friedrich Schiller University Jena, Germany; 7: Jena Center for Soft Matter, Germany; 8: Center for Energy and Environmental Chemistry Jena, Germany; 9: Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Germany Creating a Benchmark Image Dataset for Reliable Quantification of Arctic Phytoplankton using AI 1: Alfred-Wegener-Institut, Germany; 2: University of Bremen, Germany PromptGate: Federated Context Optimizationfor Dynamic VLM Gating in Open-Set MedicalImaging University of Bonn, University Hospital Bonn, Clinic for Diagnostic and Interventional Radiology, Bonn, Germany Neural Posterior Estimation for Empirical Power System Time Series Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Germany Underconfident Predictions in MFVI Helmholtz Munich, Germany Differentiable Power-Flow Optimization 1: Karlsruhe Institute of Technology, Germany; 2: Helmholz AI, Karlsruhe A generative model for dimensionality reduction with millions of features and few samples 1: Helmholtz AI, Helmholtz Zentrum Munchen, Ingolstadter Landstraße 1,Neuherberg, Germany; 2: Center for Health Data Science, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; 3: Department of Medical Sciences, University of Torino, Italy "Hello World": How to Have a Conversation with the Global Weather 1: Karlsruhe Institute of Technology, Germany; 2: Helmholtz AI Segmentation of the intracranial cavity in T1-weighted MR images of the human head by a location-specific 3D U-Net 1: Institute for Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Germany; 2: C. and O. Vogt Institute for Brain Research, Medical Faculty, University Hospital, Heinrich-Heine-University of Düsseldorf, Germany; 3: Institute for Anatomy I, Medical Faculty, University Hospital, Heinrich-Heine-University of Düsseldorf, Germany BioCUDA: An Accessible AI Pipeline for Fast, Accurate 3D MRI Reconstruction Across Species 1: Data Science Group, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven; 2: Integrative Ecophysiology, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven; 3: Piraud Team, Helmholtz AI, Helmholtz Munich Machine-Learned Interatomic Potentials for Fe–Ni Alloys: Benchmarking MACE Models for Magnetism and Phase Stability 1: Helmholtz-Zentrum Dresden-Rossendorf (HZDR); 2: Center for Advanced Systems Understanding (CASUS) Hybrid Multimodal Late Fusion Frameworks for Robust bvFTD Classification in Imbalanced Dementia Cohorts 1: German Center for Neurodegenerative Diseases (DZNE), Germany; 2: Institute and Policlinic of Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Rostock, Germany; 3: Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany Amortising Inference and Meta-Learning Priors in Neural Networks 1: Helmholtz AI, Germany; 2: MCML, Germany; 3: TUM, Germany; 4: UTN, Germany SCHEMA: profiling Spatial Cancer HEterogeneity across modalities to benchmark Metastasis risk prediction 1: Institute of Computational Biology, Helmholtz Munich, Germany; 2: Institute of Lung Health and Immunity, Helmholtz Munich, Germany; 3: University Hospital Tübingen, Germany; 4: Karlsruhe Institute of Technology, Germany; 5: TUM School of Life Sciences Weihenstephan,Technical University of Munich, Germany; 6: TUM School of Computing, Information and Technology, Technical University of Munich, Munich, Germany Machine Learning-Accelerated Prediction of Hydrogen Embrittlement fromTEM Microstructures 1: Forschungszentrum Juüich GmbH; 2: Helmholtz Zentrum Hereon, Germany Multimodal Data-Driven Forecasting of Coastal Environmental Health in the Baltic Sea 1: Christian-Albrechts-Universität zu Kiel (CAU), Germany; 2: GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany; 3: Technische Universität Hamburg, Germany LieAugmenter: Equivariant Learning by Discovering Symmetries with Learnable Augmentations 1: Technical University of Munich (School of CIT); 2: Munich Center for Machine Learning; 3: Munich Data Science Institute; 4: MIT (Department of EECS and CSAIL) Improvement of Whale Vocalization Detection with Temporal Context and Soft Labels 1: Data Science Group, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Germany; 2: Ocean Acoustics Group, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research Learning Coarse-Grained Potentials for Intrinsically Disordered Proteins Forschungszentrum Jülich, Germany A modular Retrieval Augmented Generation (RAG) Toolbox for Building Transparent AI-Search Engines FZJ, Germany Better Uncertainties Don’t Guarantee Better Decisions 1: HAI, Germany; 2: TUM; 3: relAI; 4: MCML Attributing the effects of multiple line outages via Shapley values 1: Institute of Climate and Energy Systems (ICE-1), Forschungszentrum Jülich, Germany; 2: Amprion GmbH, Transmission System Operation, Germany Can Uncertainty Quantification Benefit From Label Embeddings? A Case Study on Local Climate Zone Classification 1: German Aerospace Center, Germany; 2: Interhyp; 3: LMU Munich; 4: TUM A mamba-accelerated digital twin for near-real-time prediction in Geolab 1: Section 4.3 Geoenergy Section, GFZ Helmholtz Centre for Geosciences; 2: Institute of Applied geosciences, Technical University of Darmstadt; 3: Department of Astrophysics, University of Potsdam Benchmarking Taxonomic Classifiers: Bridging 16S rRNA metabarcoding and Shotgun Metagenomics for AI-Driven Microbiome Decoding 1: Department of Tumor Immunology and Tumor Immunotherapy, Helmholtz Center for Translational Oncology (HI-TRON), Mainz, Germany; 2: German Cancer Research Center (DKFZ), Heidelberg, Germany; 3: Department of Hematology, Medical Oncology and Pneumology, University Medical Center, Mainz, Germany; 4: Division of Microbiome and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany; 5: Epithelium Microbiome lnteractions, German Cancer Research Center (DKFZ), Heidelberg, Germany; 6: Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel Toward Condition-Aware MOF Topology Prediction via Latent Generative Modeling 1: Forschungszentrum Jülich GmbH, Germany; 2: Helmholtz Institute for Polymers in Energy Applications Jena (HIPOLE Jena), Jena, Germany Blur-aware Single-cell Segmentation and Feature Extraction for Drug-activity Measurement in Brightfield Organoid Imaging 1: Helmholtz Zentrum München GmbH, Germany; 2: Department for Translational Medical Oncology, NCT/UCC Dresden and DKFZ; 3: Translational Medical Oncology, Carl Gustav Carus Faculty of Medicine, Dresden Decoding Values: Measuring Culture Embedded in Large Language Models 1: Perelyn GmbH, Germany; 2: Technical University Munich, Germany Cytoarchitecture in Words: Weakly Supervised Vision–Language Modeling for Human Brain Microscopy 1: Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Germany; 2: Helmholtz AI, Research Centre Jülich, Germany; 3: Cécile & Oskar Vogt Institute for Brain Research, University Hospital Düsseldorf, Germamny; 4: Computer Vision, Institute for Computational Visualistics, University of Koblenz, Germany The (AI)^2 Consultant - A Co-consultant for AI Consultants Helmholtz Zentrum Munich, Germany Accessible pipeline for open set dermatological captioning with scarce data 1: Helmholtz AI, Helmholtz Zentrum München, Germany; 2: Technical University of Munich, Klinikum rechts der Isar, Germany Machine Learning for Rogue Wave Prediction in the Southern North Sea 1: Helmholtz-Zentrum Hereon, Germany; 2: Federal Waterways Engineering and Research Institute (BAW); 3: Helmholtz AI Nanopore- and AI-Empowered Microbial Viability Inference Helmholtz Munich, Germany Counterfactual Ship Attribution in Cloud Fields Using Deep Learning and Satellite Observations German Aerospace Center (DLR), Germany RenewBench: Real Energy Data You Can Actually Use 1: Karlsruhe Institute of Technology (KIT), Germany; 2: Helmholtz-Center Hereon, Germany; 3: Helmholtz AI, Germany Are Reasoning LLMs Robust to Interventions on Their Chain-of-Thought? 1: Helmholtz AI, Germany; 2: Technical University of Munich, Germany; 3: Ludwig Maximilian University of Munich, Germany An AI System for Robust Plain Language Translation of Clinical Trials 1: Institute of Computational Biology, Computational Health Center, Helmholtz Munich, Germany; 2: German Center for Diabetes Research, Germany K-MaT: Knowledge-Anchored Manifold Transport For Cross-Modal Prompt Learning In Medical Imaging 1: University Hospital Bonn, Germany; 2: University of Bonn, Germany Analysis of immune responses in renal cell carcinoma with synergistic ex vivo and in silico simulation tumor models 1: German Cancer Research Center (DKFZ), Helmholtz Institute for Translational Oncology (HI-TRON), Tumor Immunology and Tumor Immunotherapy, Mainz, Germany; 2: University Medical Center Mainz, Department of Hematology and Medical Oncology, Mainz, Germany; 3: Faculty of Biosciences, Ruprecht Karls University, Heidelberg, Germany; 4: National Center for Tumor Diseases, Department of Medical Oncology, Heidelberg, Germany; 5: University Medical Center Mainz, Institute for Pathology, Mainz, Germany; 6: University Medical Center Mainz, University Cancer Center (UCT), Mainz, Germany Bad Data Detection and Signal Recovery in Large-Scale ICT-Platforms 1: ICE-1, Institute of Climate and Energy Systems, Forschungszentrum Jülich, 52428 Jülich, Germany; 2: RWTH Aachen University, Aachen 52056, Germany; 3: JARA-Energy, Jülich 52425, Germany System Characterization by Affine Operators in Physics-Informed Gaussian Processes 1: ICE-1, Institute of Climate and Energy Systems, Forschungszentrum Jülich, 52428 Jülich, Germany; 2: RWTH Aachen University, Aachen 52056, Germany; 3: JARA-Energy, Jülich 52425, Germany A Neural Operator Framework for Particle-based Kinetic Plasma Simulations 1: Forschungszentrum Jülich GmbH, Germany; 2: Helmholtz Zentrum Dresden-Rossendorf, Germany Learning PDE Dynamics from Small Data: Out-of-Distribution Generalization of Deep Learning Surrogates 1: Institute for Advanced Simulations -- Materials Data Science and Informatics (IAS-9), Forschungszentrum Juelich GmbH, Juelich 52425, Germany; 2: Chair of Materials Data Science and Materials Informatics, Faculty 5 -- Georesources and Materials Engineering, RWTH Aachen University, Aachen 52056, Germany Human-Explainable, Compact, Clustering-based Latents for Fast Proton Energy Spectra Estimation 1: Helmholtz-Zentrum Dresden-Rossendorf e.V., Germany; 2: Center for Advance Systems Understanding (CASUS), Görlitz, Saxony, Germany; 3: TUD Dresden University of Technology, 01062 Dresden, Germany; 4: Technische Universität Chemnitz, Institute of Physics, Chemnitz, Saxony, Germany Collaborative Research Data Management for AI Hof University of Applied Sciences, Germany From FAIR Multimodal Data Infrastructure to AI-Driven Clinical Interpretation: The MINDset Platform for Precision Psychiatry 1: Institute of Neuroscience and Medicine 4 (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany; 2: Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital Aachen,RWTH Aachen University, Aachen, Germany; 3: Department of Computer and Information Science and Engineering, University of Florida, USA; 4: Faculty of Medical Engineering and Technomathematics, FH Aachen University Applied Sciences, Aachen, Germany; 5: Department of Neurology, RWTH Aachen University, Aachen, Germany; 6: Department of Psychiatry II, Ulm University and BKH Günzburg, Germany. GENOVA: A framework for statistical validation of generative networks in high-dimensional scientific data. 1: RWTH Aachen, Germany; 2: University of Genoa, Italy; 3: Massachusetts Institute of Technology, USA; 4: INFN, Sezione di Genova, Italy; 5: University of Pisa, Italy; 6: Brandeis University, USA Measuring Diversity in Multi-Agent Motion Generation 1: Karlsruhe Institute of Technology, Germany; 2: Aumovio SE GEOMAGFOR - Geomagnetic Core Field Forecasting: Excursions and Polarity Reversals 1: Institute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Germany; 2: Geomagnetism, GFZ Helmholtz Centre for Geosciences, Potsdam, Germany Clinical Evidence to Individualized Care: AI Powered Clinical Decision Support Based on Predicted Individual Treatment Effect (PITE) 1: Faculty for Informatics and Data Science, Regensburg University, Germany; 2: MRC Biostatistics Unit, University of Cambridge, UK Integrating an LLM Chatbot into an Existing Web Frontend via DASF and MCP Helmholtz-Zentrum Hereon, Germany CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training 1: Thomson Reuters Foundational Research; 2: Tübingen AI Center, University of Tübingen; 3: Helmholtz Munich; 4: MCML, Technical University of Munich; 5: Imperial College London Patch-MLP-Based Predictive Control: Simulation of Upstream Pointing Stabilization for PHELIX Laser System 1: Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany; 2: GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany; 3: Amplitude laser group—Dresden operations, Dresden, Germany; 4: Extreme Light Infrastructure—Nuclear Physics, National Institute for Physics and Nuclear Engineering, Ilfov, Romania; 5: University of Bucharest, Ilfov, Romania; 6: Engineering and Applications of Lasers and Accelerators Doctoral School (SDIALA), National University of Science and Technology Politehnica of Bucharest, Bucharest RO-060042, Romania; 7: Technische Universität Dresden, Dresden, Germany; 8: Chemnitz University of Technology, Chemnitz, Germany Promise and Limitations of Learning the Morphological Representations of Life Helmholtz Center Dresden-Rossendorf, Germany Evaluating 3D Molecular Representation Learning with Multipolar Atom Types 1: University of Warsaw; 2: Helmholtz Munich |
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| 6:00pm - 9:00pm |
State Reception at the Munich Residence Location: Munich Residence |
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| 8:30am - 9:00am |
Registration Location: JOIN Lounge |
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| 8:30am - 1:30pm |
Child Care Location: Konferenz 4 |
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| 9:00am - 10:00am |
Session 4a: Imaging Location: LAB Lounge Chair: Hannah Spitzer, Helmholtz Munich AI-enabled Colorimetric Multi-Biomarker Sensing Patch for Neonatal Monitoring 1: Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany.; 2: School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.; 3: Silklab, Dept. of Biomedical Engineering, Tufts University, Medford, MA, USA.; 4: Comprehensive Pneumology Center with the CPC-M bioArchive and Institute of Lung Health and Immunity, Helmholtz Center Munich, Member of the German Center of Lung Research (DZL), Munich, Germany; 5: Dr. von Hauner Children’s Hospital, Hospital of the Ludwig-Maximilians-Universität München, Munich, Germany; 6: School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK.; 7: School of Medicine and Health Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany; 8: Dept. of. Electrical and Computer Engineering, Tufts University, Medford, MA, USA.; 9: Dept. Of Physics, Tufts University, Medford, MA, USA. 9:12am - 9:24am Implicit Neural Representation (INR) meets Multi-Contrast MRI Reconstruction 1: School of Computation, Information and Technology, Technical University of Munich, Munich, Germany; 2: GE HealthCare, Munich; 3: Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich; 4: Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; 5: Technische Hochschule Ingolstadt, Ingolstadt, Germany; 6: School of Natural Sciences, Technical University of Munich, Munich, Germany; 7: King’s College London, London, United Kingdom 9:24am - 9:36am Deep Learning Reconstruction of Diffusion Spectrum Imaging from Undersampled q-Space Measurements 1: Technische Hochschule Ingolstadt, Germany; 2: Technical University of Munich, Germany 9:36am - 9:48am HematoGraph: Graph-Aware Hierarchical Pooling for Cell-Level Hematology Classification 1: Helmholtz Munich, Germany; 2: TUM; 3: LMU 9:48am - 10:00am Contour Proposal Networks with Deep Refinement for Dense High-Throughput Instance Segmentation 1: C. & O. Vogt Institute for Brain Research, University Hospital Düsseldorf, Germany; 2: Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Germany; 3: Helmholtz AI, Research Center Jülich, Germany; 4: Institute for Computational Visualistics, University of Koblenz, Germany |
Session 4b: Infrastructure & Tools Location: GERN Stage Chair: Steffen Schneider, Helmholtz Munich Tiamat: Tiled Image Access, Manipulation, and Analysis Toolkit for Visualization and Analysis of Large Scientific Image Datasets 1: Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; 2: Helmholtz AI, Research Centre Jülich, Jülich, Germany; 3: Cécile & Oskar Vogt Institute of Brain Research, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; 4: Department of Physics, University of Wuppertal, Wuppertal, Germany; 5: Institute for Computational Visualistics, Faculty of Computer Science, University of Koblenz, Koblenz, Germany 9:12am - 9:24am MLArray: Unifying Machine Learning-Optimized Array Storage and Imaging Metadata German Cancer Research Center (DKFZ), Germany 9:24am - 9:36am Microsecond Latency Graph Neural Network Inference on Point Clouds Karlsruhe Institute of Technology, Germany 9:36am - 9:48am GENIUS: An Agentic AI Framework for Autonomous Design and Execution of Simulation Protocols 1: Karlsruhe Institute of Technology, Germany; 2: Helmholtz-Zentrum Hereon 9:48am - 10:00am The Road to Exascale: Lessons Learned from Scaling a Scientific AI Workflow to 16,384 GPUs 1: Institute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich (FZJ), Germany; 2: Helmholtz AI, Forschungszentrum Jülich (FZJ), Germany; 3: Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Germany; 4: German BioImaging, Gesellschaft für Mikroskopie und Bildanalyse e.V, Konstanz, Germany; 5: Cécile & Oskar Vogt Institute for Brain Research, University Hospital Düsseldorf, Germany; 6: Computer Vision, Institute for Computational Visualistics, University of Koblenz, Germany |
| 10:00am - 10:45am |
Keynote Talk: Cordelia Schmid (Inria, Google) Location: LAB Lounge Chair: Zeynep Akata, Helmholtz Munich Invited talk Video-Guided Policies for Robotic Manipulation Inria, France |
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| 10:45am - 11:15am |
Coffee break Location: GERN/i-Track |
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| 11:15am - 12:45pm |
Helmholtz Munich: Discovering Future Health Location: LAB Lounge Chair: Marie Piraud, Helmholtz Munich Helmholtz Munich: Discovering Future Health Helmholtz Munich, Germany Invited talk Translational Genomics of Osteoarthritis Helmholtz Munich, Germany Invited talk Biophysics-Informed and AI-Assisted Computation for Translational Optoacoustic Imaging and Sensing 1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany Invited talk From Multivariate Perturbations to Predictive Models of Human Airway Function Helmholtz Zenter München GmbH, Germany Invited talk The Interaction Layer: Why the Virtual Cell Needs Biochemistry Helmholtz Munich, Germany |
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| 12:45pm - 1:00pm |
Poster Prizes & Closing Location: LAB Lounge Chair: Hannah Spitzer, Helmholtz Munich Chair: Steffen Schneider, Helmholtz Munich |
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| 1:00pm - 2:00pm |
Lunch Location: GERN/i-Track |
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