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: 4th June 2026, 10:11:11pm CEST
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Daily Overview | |
| Location: GERN Stage |
| 2:00pm - 3:15pm |
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 Embpy and Perturbation World Models: A Foundation-Model Stack for Predicting Cellular Responses Helmholtz Munich, Germany |
| 3:15pm - 3:30pm |
Poster Spotlight Talks II Location: GERN Stage Chair: Hannah Spitzer, Helmholtz Munich 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 3:18pm - 3:21pm AI-assisted Classification of Polar Phytoplankton’s Functional Biodiversity using Multispectral Imaging Flow Cytometry 1: Alfred Wegener Institute, Germany; 2: University of Bremen, Germany 3:21pm - 3:24pm SoraCT: Unconditioned 3D CT Synthesis via Video Diffusion Transformers 1: Friedrich-Alexander University Erlangen-Nürnberg, Germany; 2: Department of Computing, Imperial College London, UK 3:24pm - 3:27pm 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 |
| 9:00am - 10:30am |
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 |
| 2:15pm - 3:15pm |
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 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 |
| 9:00am - 10:00am |
Session 4b: Infrastructure & Tools Location: GERN Stage Chair: Steffen Schneider, Helmholtz Munich 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 9:12am - 9:24am A decentralized Swarm Learning framework for 90-Day outcome prediction for acute ischaemic stroke 1: DZNE, Germany; 2: CISPA, 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 |
