Logo HAICON26
 

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: 25th Aug 2026, 01:04:29am CEST

 
Tue09June
LAB Stage
GERN Stage
GERN & i-Track
JOIN Lounge
Networking Area i-Track
i-Track
Konferenz 4
8:00am
9:00am
10:00am
11:00am
12:00pm
1:00pm
2:00pm
3:00pm
4:00pm
5:00pm
6:00pm
7:00pm
8:00pm
9:00pm
10:00pm
Opening Remarks & Welcome
11:00am - 12:00pm
LAB Stage
Hannah Spitzer, Steffen Schneider
Location: LAB Stage
Session Chair: Hannah Spitzer, Helmholtz Munich
Session Chair: Steffen Schneider, Helmholtz Munich
Start HAICON26 with inspiring opening remarks from the organizers, setting the tone for a day of learning, collaboration, and networking with peers from across the AI community.\n11:00 11:15: Intro > Moderators\n11:15 11:25: Opening Remarks > Martin Hrabe de Angelis\n11:25 11:45: Helmholtz AI in 2026 > Fabian Theis\n11:45 11:55: Program Outlook > Marie Piraud
YouTube
Keynote Talk Pierre Gentine (NSF Science and Technology Center “LEAP”; Columbia University, USA)
12:00pm - 12:45pm
LAB Stage
Hannah Spitzer
Location: LAB Stage
Session Chair: Hannah Spitzer, Helmholtz Munich
12:00pm - 12:45pm
Invited talk

Lost (and found) in latent land: applications to weather and climate

Pierre Gentine

Columbia University, United States of America

Session 1a: Benchmarking & Testing
2:00pm - 3:15pm
LAB Stage
Steffen Schneider
Location: LAB Stage
Session Chair: Steffen Schneider, Helmholtz Munich
Choose from expert-led talks running simultaneously to explore AI topics that match your interests.
2:00pm - 2:20pm
Invited talk

Embracing the Tyranny of Testing

Moritz Hardt

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

Jens Johannes Gebele1,2, Philipp Brune1, Frank Schwab2, Sebastian von Mammen2

1: Neu-Ulm University of Applied Sciences, Germany; 2: University of Würzburg

2-Gebele246_2026-03-08_16-28_a.jpg


2:34pm - 2:48pm

Human-in-the-loop Concept Discovery and Curation in Vision Foundation Models

Hyesu Lim1, Jinho Choi2, Jaegul Choo2, Steffen Schneider1

1: Helmholtz Munich, Germany; 2: KAIST AI, South Korea

<strong>pdf</strong>: Adobe Acrobat "Portable Document Format"3-Lim356_2026-06-08_11-20.pdf


2:48pm - 3:02pm

TACTIC: Tabular-Attribute Conditioned Transformer for Image Classification

Laura Daza1,2, Marta Hasny1,2, Cristina González1,2, Julia Schnabel1,2,3

1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany; 3: King's College London, UK

<strong>pdf</strong>: Adobe Acrobat "Portable Document Format"4-Daza174_2026-06-22_09-56.pdf


3:02pm - 3:15pm

Learning Physical Geometry from Noisy Helical Particle Tracks: A Comparative Study of Transformers, SBI, and JEPA

Sylvain Caillou, Jan Stark, Alexis Vallier, Catherine Biscarat

L2I Toulouse, CNRS/IN2P3, Université de Toulouse

<strong>pdf</strong>: Adobe Acrobat "Portable Document Format"5-Caillou369_2026-06-09_06-06.pdf
Poster Spotlight Talks I
3:15pm - 3:30pm
LAB Stage
Steffen Schneider
Location: LAB Stage
Session Chair: Steffen Schneider, Helmholtz Munich
Short presentations highlighting outstanding posters, offering authors a preview to the full audience ahead of the poster session.
3:15pm - 3:18pm

MLflow pilot service for Helmholtz researchers

Lisana Berberi, Christophe Laures, Khadijeh Alibabaei, Valentin Kozlov, Achim Streit

Karlsruhe Institute of Technology (KIT), Germany

<strong>pdf</strong>: Adobe Acrobat "Portable Document Format"1-Berberi218_2026-05-29_23-11.pdf


3:18pm - 3:21pm

Towards Robust Foundation Models for Digital Pathology

Jonah Kömen1,2, Edwin de Jong3, Julius Hense1,2, Hannah Marienwald1,2, Jonas Dippel1,2,3, Philip Naumann1,2, Eric Marcus4, Lukas Ruff3, Maximilian Alber3,7, Jonas Teuwen4, Frederick Klauschen1,5,6,7, Klaus-Robert Müller1,2,8,9

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

Nico Schuster

Centre de Physique des Particules de Marseille, France

<strong>pdf</strong>: Adobe Acrobat "Portable Document Format"3-Schuster253_2026-06-17_16-31.pdf


3:24pm - 3:27pm

The Helmholtz Model Zoo: Enabling AI Model Sharing and Inference in the Helmholtz Cloud

Hans Werners, Engin Eren, Philipp Heuser

Deutsches Elektronen-Synchroton DESY, Germany

<strong>pdf</strong>: Adobe Acrobat "Portable Document Format"4-Werners331_2026-06-08_18-45.pdf


3:27pm - 3:30pm

Improving Reliability of LLM-Based Robotic Task Planning Through Domain Adaptation and Benchmarking

Kanak Pandit, Ananya Kulkarni, Muhammad Saeed

ARENA2036, Germany

<strong>pdf</strong>: Adobe Acrobat "Portable Document Format"5-Pandit230_2026-06-22_10-08.pdf
Session 1b: Interpretability
2:00pm - 3:15pm
GERN Stage
Hannah Spitzer
Location: GERN Stage
Session Chair: Hannah Spitzer, Helmholtz Munich
Choose from expert-led talks running simultaneously to explore AI topics that match your interests.
2:00pm - 2:20pm
Invited talk

Learning Actionable Insights from Scientific Data

Jilles Vreeken

CISPA Helmholtz Center for Information Security, Germany

<strong>pdf</strong>: Adobe Acrobat "Portable Document Format"1-Vreeken409_2026-06-17_14-31.pdf


2:20pm - 2:34pm

RIBEX: Predicting and Explaining RNA Binding Across Structured and Intrinsically Disordered Regions (IDR)-rich Proteins

Samuele Firmani1,2, Felix Steinbauer2,4, Gjergji Kasneci2,3,4, Annalisa Marsico1, Marc Horlacher1,2

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

Wojciech Zarzecki1,2,4, Paulina Szymczak3, Ewa Szczurek1,3, Kamil Deja2,4

1: University of Warsaw, Poland; 2: Warsaw University of Technology, Poland; 3: Helmholtz Munich, Germany; 4: Ideas Research Institute

<strong>pdf</strong>: Adobe Acrobat "Portable Document Format"3-Zarzecki233_2026-06-08_17-04.pdf


2:48pm - 3:02pm

Interpreting Multimodal Latent Spaces in Single-Cell Multi-omics with Feature Attribution Techniques

Anis Ismail, Alejandro Sifrim

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

Gonçalo Pinto

Helmholtz Munich, Germany

Poster Spotlight Talks II
3:15pm - 3:30pm
GERN Stage
Hannah Spitzer
Location: GERN Stage
Session Chair: Hannah Spitzer, Helmholtz Munich
Short presentations highlighting outstanding posters, offering authors a preview to the full audience ahead of the poster session.
3:15pm - 3:18pm

Uncertainty-Guided Generation of Dark-Field Radiographs

Lina Felsner1,2,3, Henriette Bast4,5,6, Tina Dorosti4,5,6, Florian Schaff4,5,6, Franz Pfeiffer4,5,6,7, Daniela Pfeiffer5,6,7, Julia Schnabel1,2,3,8

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

1-Felsner184_2026-03-06_10-10_a.png


3:18pm - 3:21pm

AI-assisted Classification of Polar Phytoplankton’s Functional Biodiversity using Multispectral Imaging Flow Cytometry

Natasha Bryan1, Anna Naberhaus1, Sarah Lena Eggers1, Antonia Thielecke1, Mar Fernandez Mendez1,2

1: Alfred Wegener Institute, Germany; 2: University of Bremen, Germany

<strong>pdf</strong>: Adobe Acrobat "Portable Document Format"2-Bryan375_2026-06-22_10-14.pdf


3:21pm - 3:24pm

SoraCT: Unconditioned 3D CT Synthesis via Video Diffusion Transformers

Jiayi Wang1, Hadrien Reynaud1, Bernhard Kainz1,2

1: Friedrich-Alexander University Erlangen-Nürnberg, Germany; 2: Department of Computing, Imperial College London, UK

<strong>pdf</strong>: Adobe Acrobat "Portable Document Format"3-Wang167_2026-05-16_17-49.pdf


3:24pm - 3:27pm

A 3D Foundation Model for Generalizable Biological Structure Segmentation in Tissue Clearing Images

Qi Liu1,3,4,5, Ying Chen1,3,4,5, Markus Elsner1,6, Ali Ertürk1,2,4,6,7

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

<strong>pdf</strong>: Adobe Acrobat "Portable Document Format"4-Liu394_2026-06-22_10-15.pdf


3:27pm - 3:30pm

Factor dependencies and their associations with covariates in multimodal factor analysis

Małgorzata Łazęcka1, Ewa Szczurek2,1

1: University of Warsaw, Poland; 2: Helmholtz Center Munich, Germany

Lunch
12:45pm - 2:00pm
GERN & i-Track
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

Coffee break
3:30pm - 4:00pm
GERN & i-Track
Location: GERN & i-Track
Registration
8:30am - 9:00am
JOIN Lounge
Location: JOIN Lounge
Pick up your badge and conference materials at the registration desk.
AI World Café
9:00am - 10:45am
JOIN Lounge
Susanne Wenzel
Location: JOIN Lounge
Session Chair: Susanne Wenzel, Forschungszentrum Jülich GmbH
Join the AI World Café for interactive, small-group discussions on key AI research topics. Rotate between tables to explore multiple themes, share ideas, and connect with peers in a dynamic, collaborative setting.

The Age of Artificial Work - What happens when humans are no longer the only ones working?

Guido Mathews

Entrepreneur, Germany



Developing Agile and Collaborative Platforms for AI Governance in Research Institutions

Veit Schwab1, Manuel Hoffmann2

1: Max Planck Institute of Psychiatry, Germany; 2: Max Planck Information and Technology (MaxIT), Germany



Data2AI Compass

Sonja Hänzelmann, Luca Greiner

Alfred Wegener Institute for Polar and Marine Sciences, Germany



The Future of Universal Inverse Problems Solvers

Dawit Abiy Hailu

Helmholtz Zentrum Hereon, Germany



Large Vision-Language Models for Earth Observation Applications

Luca Chiarabini

DLR, Germany



AI Engineering for Safety-Critical Applications

Yannick Kees

German Aerospace Center (DLR), Germany



After Generative AI: Is Physical Intelligence the Next Wave for Science?

Celso Rêgo

Karlsruhe Institute of Technology, Germany



Can AI Become a Responsible Teaching Partner? Using, Improving and Creating Educational Resources with Generative AI

Philip Müller1, Donatella Cea2, Sebastian Starke1, Gunjan Joshi1

1: Helmholtz Zentrum Dresden-Rossendorf (HZDR), Germany; 2: Helmholtz AI, Helmholtz Centre Munich, Germany



Inclusion and Diversity in AI and Biomedical Research

Beatrice Guastella1,2, Joel Valdivia Ortega1,3,4, Qian Xu1,5, Dennis Ostländer1,6, Luisa Hernández Götz1,7

1: Helmholtz Munich, Germany; 2: LMU Klinikum, Germany; 3: Helmholtz Pioneer Campus, Germany; 4: Helmholtz AI, Germany; 5: Technical University of Munich, Germany; 6: University of Regensburg, Germany; 7: University of Edinburgh, United Kingdom



The Architect and the Engine: Catching "Invisible Failures" in AI-Generated Code

Nico Schuster

Centre de Physique des Particules de Marseille, France



How To Provide (Unified) Access To AI Models?

Jonas Hagenberg

Helmholtz Zentrum München, Germany



Managing AI/ML lifecycle: tools and needs

Lisana Berberi, Valentin Kozlov, Paul Kieckhefen

Karlsruhe Institute of Technology (KIT), Germany



Federated Learning: Fine-Tuning Large AI Models Across Institutions - Without Sharing Data

Leonhard Duda, Khadijeh Alibabaei

KIT, Germany



To what extend Can AI Replace Numerical Simulations in Engineering? Opportunities, Challenges, and Limits

Tarek Hussein

Universität Augsburg, Germany



Scholarly Publishing in the Age of AI: Tips, the Editor's Black Box, and AI in Publishing

Hashini Thirimanne

Wiley, United Kingdom



Can Urban AI Make Cities More Human?

Narendran Sobanapuram Muruganandam, Erika Von Schneidemesser

Research Institute for Sustainability, Germany



Beyond Prediction: Can AI Make Treatment Decisions?

Pamela Solano

Faculty of Computer Science and Data Science. Regensburg University, Germany

Poster Session I
4:00pm - 6:00pm
JOIN Lounge
Location: JOIN Lounge
Discover cutting-edge AI research and innovations at the Poster Session. Connect with authors, ask questions, and engage in lively discussions that spark collaboration and new ideas.

Interpretable Representations for Hematology

Muhammed Furkan Dasdelen1, Hyesu Lim1, Paul Pommer1, Michele Buck2, Steffen Schneider1, Carsten Marr1

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

Svitlana Oleshko1,2, Samuele Firmani1, Jamie Robinson2, Julien Hernandez-Lallement2, Sergio Picart-Armada2, Matthias Heinig1, Till F.M. Andlauer2,3, Annalisa Marsico2

1: Helmholtz Munich, Germany; 2: Boehringer Ingelheim Pharma, Germany; 3: Technical University of Munich, Germany



MLflow pilot service for Helmholtz researchers

Lisana Berberi, Christophe Laures, Khadijeh Alibabaei, Valentin Kozlov, Achim Streit

Karlsruhe Institute of Technology (KIT), Germany



Towards Robust Foundation Models for Digital Pathology

Jonah Kömen1,2, Edwin de Jong3, Julius Hense1,2, Hannah Marienwald1,2, Jonas Dippel1,2,3, Philip Naumann1,2, Eric Marcus4, Lukas Ruff3, Maximilian Alber3,7, Jonas Teuwen4, Frederick Klauschen1,5,6,7, Klaus-Robert Müller1,2,8,9

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

Nico Schuster

Centre de Physique des Particules de Marseille, France



The Helmholtz Model Zoo: Enabling AI Model Sharing and Inference in the Helmholtz Cloud

Hans Werners, Engin Eren, Philipp Heuser

Deutsches Elektronen-Synchroton DESY, Germany



Improving Reliability of LLM-Based Robotic Task Planning Through Domain Adaptation and Benchmarking

Kanak Pandit, Ananya Kulkarni, Muhammad Saeed

ARENA2036, Germany



Uncertainty-Guided Generation of Dark-Field Radiographs

Lina Felsner1,2,3, Henriette Bast4,5,6, Tina Dorosti4,5,6, Florian Schaff4,5,6, Franz Pfeiffer4,5,6,7, Daniela Pfeiffer5,6,7, Julia Schnabel1,2,3,8

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

9-Felsner1184_2026-03-06_10-10_a.png


SoraCT: Unconditioned 3D CT Synthesis via Video Diffusion Transformers

Jiayi Wang1, Hadrien Reynaud1, Bernhard Kainz1,2

1: Friedrich-Alexander University Erlangen-Nürnberg, Germany; 2: Department of Computing, Imperial College London, UK

10-Wang1167_2026-03-05_06-09_a.png
10-Wang1167_2026-03-05_07-22_b.png


A 3D Foundation Model for Generalizable Biological Structure Segmentation in Tissue Clearing Images (DISCO-CAR: whole-body mapping of engineered cells and diseases at single-cell resolution)

Qi Liu1,3,4,5, Jennifer Modamio2, Ying Chen1,3,4,5, Doris Kaltenecker2, Karoline Kadletz2, Izabela Horvath2,4,6,8, Luciano Hoeher2, Eva Küsters2, David-Paul Minde2, Chenchen Pan1,2, Hongcheng Mai1,3,4,6, Dirk H Busch9,10,11, Markus Elsner1,6, Ali Ertürk1,2,4,6,7

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; 8: TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany; 9: German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany; 10: Institute for Medical Microbiology, Immunology and Hygiene, Technische Universität München (TUM), Munich, Germany; 11: Focus Group 'Clinical Cell Processing and Purification', Institute for Advanced Study, TUM, Munich, Germany



M²S³OM-graph: A Hybrid Deterministic-LLM Pipeline for Automated Metadata Crosswalk Extraction and Graph-Grounded Interoperability

Santiago Casas Castro

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

12-Casas Castro295_2026-03-13_11-14_a.png
12-Casas Castro295_2026-03-13_11-14_b.png


EO Foundation Models for Pre-Training Dataset Uncertainty Analysis

Stefan Dan, Jakob Gawlikowski

German Aerospace Center, Remote Sensing Technology Institute, Germany



FrustrAI-Seq: Scaling Local Energetic Frustration to the Protein Sequence Space

Jan-Philipp Leusch1,2, Miriam Poley-Gil3, Miguel Fernandez-Martin3, Nicola Bordin4, Burkhard Rost2, R. Gonzalo Parra3, Michael Heinzinger1,2

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

Jan-Oliver Kropp1,2,3, Katrin Amunts1,3, Timo Dickscheid1,2,4, Christian Schiffer1,2

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

Katrina Ager, Silviu Vasile-Bodea, Lucas Mair, Gil Westmeyer, Steffen Schneider

Helmholtz Munich, Germany



Towards Multimodal Inference of Electron Bunch Structures using Gradient-Based Reconstruction with Differentiable Detector Models

Ritz Ann Aguilar1, Maxwell LaBerge1, Alexander Debus1, Andreas Doepp2, Zewu Bi2,3, Michael Bussmann1,4, Arie Irman1, Ulrich Schramm1,5, Jeffrey Kelling1,6

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 medical imaging and CAD via end-to-end parametric segmentation

Hakan Akdag1, Philipp Rosauer1, Sebastian Ziegler2, Katharina Pröll1, Kris Dreher2, Alexander Rüttgers1

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

Yang An1,2, Felix Drost1,2, Adrian Straub2, Kersten Heyer2, Annalisa Marsico1, Dirk H. Busch2, Benjamin Schubert1

1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany



Provenance-Aware Knowledge Graphs for Reusable PEFC and PEWE Experiments

Ezgi Arat1,2,3, Andreas Glüsen1, Martin Florian Seidler1, Mohammad Javad Eslamibidgoli2, Michael Eikerling2,3, Kourosh Malek2, Paul Kieckhefen4,5

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

Tobias Bernecker1,2, Lambert Moyon1, Danny Incarnato3,4, Annalisa Marsico1,4

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

Irene Bonafonte Pardàs1, Myriam Lizotte2,3, Guy Wolf2,3, Benjamin Schubert1

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

Maurice Brenner1,2, Helene Wetekam1,2, Alexander Plaikner2, Manuel Ploner2, Robert Schmirler2, Burkhard Rost2, Michael Heinzinger1,2

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

Christina Bukas1, Jonas Engler2, Helena Pelin1, Jonas Hagenberg1, Haider Khan1, Francesco Campi1, Carola Eberhagen3, Hans Zischka2,3, Marie Piraud1

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

Sebastian Buschow, Wael Almikaeel

Forschungszentrum Jülich, Germany



Recurrent Neural Networks and Tensor Ring Decomposition

Saptarshi Chakrabarti, Nick Vannieuwenhoven

KU Leuven, Belgium



AI and Hierarchical Clustering Techniques for Accurate Patient Stratification

Juan G. Diaz Ochoa2, Miroslav Puskaric3, Natalie Layer4, Antje Jensch4, Markus Knott4, Alexander Krohn1,5

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

27-Krohn326_2026-03-14_14-13_a.png


SciTracer - the reliable and logically provable autonomous scientific discovery.

Leonid Didukh

Unaffiliated, Ukraine



Benchmarking for Microscopic Biodiversity Screening (AIMBIS-project)

Susanne Dunker1,2, Kathleen Stoof-Leichsenring3, Mar Fernández-Méndez4, Riccardo Massei1,2, Jan Bumberger1,2

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

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MolecuLA: Learning Molecules As A Language For Generative And Interpretable Chemistry

Zakaria Elabid1, Attila Cangi1, Jan Andrzejewski1,2, Bartosz Brzoza1,2

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

Philipp Flotho1,2, Matthias Flotho1,2, Andreas Keller1,2

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

Philipp Flotho1,4,5, Moritz Piening2,5, Anna Kukleva3, Gabriele Steidl2

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

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From Feature Learning to Neural Collapse: A Data-Dependent Kernel View

Pankhil Gawade1,2, Kirsten Fischer1, Ewa Szczurek1,3

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



Do world models model the world?

Rodrigo Gonzalez Laiz

Helmholtz Munich, Germany



Editing the Foundations: Task Arithmetic for 3D Medical Segmentation Foundation Models

Cristina González1,2, Laura Daza1,2, Julia Schnabel1,2,3

1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany; 3: King's College London, UK

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Spatial transcriptomics-informed inference of cell types and states from nuclear-stained whole slide images.

Beatrice Guastella1,2, Ziqing Zhao1,2, Martin Dichgans2,4, Mikael Simons2,3,4,5, Hannah Spitzer1,2,4

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

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Uncertainty Quantification for Medical Image Segmentation

Maleeha Hassan, Till Korten, Ulrik Günther, Peter Steinbach

HZDR, Germany



Fast and Few-Shot: Equipping Scientific LLM Agents with Meta-Learned Surrogates

Hamed Hemati1, Stefan Sandfeld1,2

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.

Johannes Hingerl1,3, Laura D. Martens1,2, Aleksandr Neverov1, Mariia Minaeva2, Nils F. Wagner1, Fabian J. Theis1,2, Julien Gagneur1,2,3,4

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



Geospatial Causal Inference for Drought Driver Analysis

Vytautas Jancauskas, Samuel Garske, Daniela Espinoza-Molina

DLR, Germany

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When Protein Dynamics Matter: Integrating Molecular Dynamics into Protein Foundation Models

Reem Aboelsoud, Kasravi Javad, Stefan Kesselheim, Alina Bazarova

jülich forschungszentrum, Germany

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Toward Automated MRI-Based Screening of Cortical Superficial Siderosis Using Multimodal 3D nnU-Net

Wasim Aftab1, Anna Dewenter1, Maria Kaffe1, Anna Kopczak1, Martin Dichgans1, Hannah Spitzer1,2

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

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Cross-View Latent Integration via Nonparametric Gamma Shrinkage Factor Analysis

Hassan Akell1, Małgorzata Łazęcka2, Dinesh A Haridoss1, Miriam Urban3, Eike Staub3, Ewa Szczurek1,2

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

Malek Al Abed1,3, Sebiha Demir2, Anne Groteklaes2, Elodie Germani4, Shahrooz Faghihroohi3, Hemmen Sabir2, Shadi Albarqouni1,3

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

Maximilian Alber1,13, Timo Milbich1, Alexandra Carpen-Amarie1, Stephan Tietz1, Jonas Dippel1,7,8, Lukas Muttenthaler1,15,16, Beatriz Perez Cancer1, Alessandro Benetti1, Panos Korfiatis3, Elias Eulig1, Jérôme Lüscher1, Jiasen Wu1, Sayed Abid Hashimi1, Gabriel Dernbach1,8,13, Simon Schallenberg13, Neelay Shah1, Moritz Krügener1, Aniruddh Jammoria1, Jake Matras5, Patrick Duffy6, Matt Redlon4, Philipp Jurmeister11,12, David Horst11,13, Lukas Ruff1, Klaus-Robert Müller7,8,9,10, Frederick Klauschen12,13,14, Andrew Norgan2

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

Khadijeh Alibabaei1, Lisana Berberi1, Valentin Kozlov1, Alexandra Delipalta2, Álvaro López García3, Germán Moltó4, Fotis Psomopoulos5, Viet Tran6, Marcin Plociennik7

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

Shubhi Ambast1,2, Karola Mai1,2, Charles Mwangi Kaumbutha1,2, Jannis Spintge2, Caterina Carraro2,4, Marc Beyer2,3, Matthias Becker1,2

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

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Can Large Language Models Grade Short Free-Text Exam Answers? An Evaluation on Real German Student Data

Zeynep Arslan, Lennart Bressel, Fritz Niesel

Forschungszentrum Jülich, Germany



Pseudo-Anomaly Augmented One-Class Autoencoder and Supervised Deep Learning for Murine ECG Anomaly Detection

Marcella Astrid1, Ewan Selkirk2, Christopher S. Ward3, Donatella Cea1, Christina Bukas1, Elida Schneltzer4, Marie Piraud1, Nadine Spielmann4

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

Nazanin Bagherinejad, V Mithlesh Kumar, Julia Kowalski

Chair of Methods for Model-based Development in Computational Engineering, RWTH Aachen University, Germany



scDigital-Karyotypes: a genomic representation to learn shared variants

Suharto Banerjee1, Elisabeth Georgii2, Lisa Barros de Andrade e Sousa2, Mai Abdelhalim Mohamed3, Karen Lopez-Cayuqueo3, Kai M. Schmidt-Ott3, Ashley D. Sanders1,4

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

Ayse Edanur Baser

Ozyegin University, Turkey (Türkiye)

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ECG Template-Based Deep Learning for Amplified P-wave Duration Prediction

Silvia Becker1,2, Ajay Krishna2, Heiko Lehrmann2, Amir Jadidi3, Till Keller2,4, Dirk Westermann2, Thomas Arentz2, Axel Loewe1, Martin Eichenlaub2

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

Mario Christopher Bedrunka1,2,3,4, Dirk Reith4,5, Holger Foysi3, Łukasz Łaniewski-Wołłk6, Travis Mitchell2

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

Alexander Blume1, Deniz Aydoğdu1,2, Yoga Mithra Senthil Kumar1, Nelli Khachatryan1, Ahmed Tijani Akinfalabi1, Arash Sorooshmehr1, Ricardo Wurmus1, Altuna Akalin1

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

Philipp C. Böttcher1, Leo Kaindl2, Lisa Barros de Andrade e Sousa2, Marie Piraud2, Sandra Venghaus3,4, Dirk Witthaut1,5

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

Zeynep Boztoprak1,2, Katrin Amunts1,4, Markus Axer1,5, Timo Dickscheid1,2,3, Christian Schiffer1,2

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

Natasha Bryan1, Anna Naberhaus1, Sarah Lena Eggers1, Antonia Thielecke1, Mar Fernandez Mendez1,2

1: Alfred Wegener Institute, Germany; 2: University of Bremen, Germany



LEVERAGING MULTI-RATER ANNOTATIONS TO CALIBRATE OBJECT DETECTORS IN MICROSOPY IMAGING

Francesco Campi, Marie Piraud

Helmholtz AI, Helmholtz Zentrum Muenchen, Germany



CytoDiff: AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics

Jan Carreras Boada, Rao Muhammad Umer, Carsten Marr

Helmholtz Munich, Germany

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DeepElbe: Multi-Horizon Oxygen Forecasting and Hypoxia Early Warning Using Statistical and Deep Learning Methods

Danu Caus, Ovidio Fernando Garcia Oliva, Carsten Lemmen, Tobias Weigel

Helmholtz-Zentrum Hereon, Germany



Cancer-label-free Tumor Segmentation in Whole-mouse Light Sheet Microscopy Images Using Vision-language Models

Ying Chen1,3,4,5, Eva Küsters2,6, Jie Zhang1,3,4,5, Markus Elsner2,7, Ali Ertürk1,2,4,7,8

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

Fabia Dietrich1,2, Ritz Ann Aguilar1, Alexander Debus1, Arie Irman1, Maxwell LaBerge1, Richard Pausch1, Jessica Tiebel1,2, Nico Wrobel1,2, Ulrich Schramm1,2, Michael Bussmann1,3, Jeffrey Kelling1,4

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

Eske Ewert, Mario Christopher Bedrunka, Stefan Kesselheim

Forschungszentrum Jülich, Germany



Towards high resolution air quality forecasts for Europe using WGAN-based statistical downscaling with EURAD-IM data

Philipp Franke1, Sindhu Vasireddy1, Michael Langguth2, Anne Caroline Lange1, Martin Schultz1, Anke C. Nölscher1

1: Forschungszentrum Jülich, Germany; 2: Quarda Energy GmbH, Germany



Data-Driven Identification of Possible Transmission Sites for Carbapenem-Resistant Gram-Negative Bacteria

Elisabeth Georgii1, Petra Heinmüller2, Philipp Thomas2, Lisa Barros de Andrade e Sousa1, Theresa Willem1, Ivo Foppa2, Marie Piraud1, Anja M. Hauri3

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

Isabel Giray1,2, Gabriele Malagoli1,3, Katharina Schmid1, Maria Colomé-Tatché1,3,4

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?

Blagovest Gospodinov, Vincent Fortuin

Helmholtz, Germany



Building a Local AI Agent Assisting with Sensor Observation to Archives Framework (O2A)

Luca Greiner1, Stefan Pinkernell1, Roland Koppe2, Sonja Hänzelmann1

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

Harsh Grover1, Tobias Weigel1, Manuel Frias2, David Cabana3, Louis Celliers3, Anu Printsmann4

1: Hereon, Germany; 2: HELCOM; 3: GERICS; 4: Tallinn University



Messanger RNA Untranslated Region Design through Transformers

Lorenzo Guerci1, Ewa Szczurek1,2

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

Luca Hagen1, Johanna Paula Müller1, Weitong Zhang2, Mengyun Qaio3, Bernhard Kainz1,2

1: FAU Erlangen-Nürnberg, Germany; 2: Imperial College London, UK; 3: UCL, UK

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Single Cell PBMC Analysis Shows Cell Type Specific Changes On Inflammation In Both Depressed And Non-Depressed Individuals

Jonas Hagenberg1,2, Janine Knauer-Arloth2

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

Lena Happ1,5, Stefan Hendricks1, Conrad M Albrecht2,4, Lars Kaleschke1, Sonali Patil3, Riccardo Fellegara3, Dirk A. Lorenz5

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

Stefan Häusler, Michael Wagener, Stephan Förster, Marina Ganeva

Forschungszentrum Jülich GmbH, Germany



Quantum Kernel Alignment for Clinical Data Classification

Florian Heininger1, Jeanette Miriam Lorenz3, Matthias Weidemüller2, Niels Halama1

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

Roland Hollós1, Patrik Süli2, Gergő Szabó1, György Eigner2

1: HUN-REN, Hungary; 2: Obuda University, Hungary



Jülich Neutron Agent (JüNA): Vitess AI Agent

Ahmad Zainul Ihsan, Nicolo Violini, Klaus Lieutenant, Marina Ganeva

Jülich Centre for Neutron Science (JCNS), FZ Jülich, Germany



NEOPIC: HPC Strategies for FNO-DSE in Kinetic Plasma Simulation

Chelsea Maria John1, Sriramkrishnan Muralikrishnan1, Jeffrey Kelling2, Paul Gibbon1, Andreas Herten1

1: Forschungszentrum Jülich, Germany; 2: Helmholtz Zentrum Dresden-Rossendorf, Germany



Diagnosing and Fixing Training Bottlenecks: A Case Study of a Foundation Model

Javad Kasravi1, Christian Lessig2, Timothy Hunter2, Stefan Kesselheim1

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

Charles Kaumbutha1,2, Shubhi Ambast1,2, Karola Mai1,2, Karoline Mauer2,3, Matthias Becker1,2

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

Yannick Kees, Elena Hoemann, Frank Köster, Sven Hallerbach

German Aerospace Center (DLR), Germany



Neural Networks as Varieties

Ismail Khalfaoui-Hassani, Stefan Kesselheim

Forschungszentrum Jülich, Germany



Surrogate Models for Severe Nuclear Accidents

Paul Kieckhefen1,2, Jonas Dressner2, Charlotte Debus2, Markus Götz1,2

1: Helmholtz AI, Germany; 2: Karlsruhe Institute of Technology, Germany



Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs

Sanghwan Kim1,2,3, Rui Xiao2,3, Stephan Alaniz4, Yongqin Xian5, Zeynep Akata1,2,3

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

Felicitas Kindel1,2, Anthony Bolger1, Björn Usadel1,2,3, Alisandra Denton2,3,4, Marie Bolger1

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

Alex Kipnis, Marcel Binz, Eric Schulz

Human-Centered AI, Helmholtz Munich, Germany



Meta-Learning for Phenotypic Drug Discovery with Transformer Neural Processes

Michal Kmicikiewicz1,2, Tommy Rochussen2,3,4, Vincent Fortuin3,4,6, Ewa Szczurek1,5

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

Marjan Kohandani1,2,3, Mohammad j. Eslamibidgoli1,2, Michael H. Eikerling1,2,3, Kourosh Malek1,2

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

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Diagnosing Shortcuts in Traffic Video Question Answering Datasets

Sena Korkut1, María Alejandra Bravo1,2,3, Sanghwan Kim1,2,3, Zeynep Akata1,2,3

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

Noël Kury1,2, Dmitry Kobak1,2, Sebastian Damrich1,2

1: Hertie Institute for AI in Brain Health, Germany; 2: University of Tübingen, Germany

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Factor dependencies and their associations with covariates in multimodal factor analysis

Małgorzata Łazęcka1, Ewa Szczurek2,1

1: University of Warsaw, Poland; 2: Helmholtz Center Munich, Germany



Discovering Interpretable Visual Concepts in Monkey Visual Cortex Using Sparse Autoencoders

Lilly May1,2, Atharv Suryawanshi1, Steffen Schneider1

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

Francisco Mena, Simon Besnard, Martin Herold

GFZ Helmholtz Centre for Geosciences, Germany



Multimodal Machine Learning for Postoperative Atrial Fibrillation Prediction

Julian Mierisch1, Christian Niklas2, Rosa Klotz3, Axel Loewe1

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

Koketso Michelle Molepo1, Gizem Ekinci2, Sebastian Willmann2, Johanna Baehr3, Kevin Sieck4, Felix Oertel2, Bianca Wentzel2, Thomas Ludwig2, Martin Bergemann2, Jan Saynisch-Wagner1, Christopher Kadow2

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

Alexander Möllers1,2,3, Julius Hense1,2, Florian Schulz1,2, Timo Milbich3, Maximilian Alber3, Lukas Ruff3,4

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

João Areias Saraiva, Thomas Kirste

Hybrid Methods in Artificial Intelligence and Machine Learning, University of Rostock, Germany



MLArray: Unifying Machine Learning-Optimized Array Storage and Imaging Metadata

Karol Gotkowski, Kris Dreher

German Cancer Research Center (DKFZ), Germany



Post-training makes large language models less human-like

Marcel Binz, Psych-201 Consortium, Eric Schulz

Helmholtz Munich, Germany



A Domain-Specialized Multimodal Foundation Model for Interpreting Sentinel-2 True Color Imagery in Flood Disaster Response

Luca Chiarabini, Daniela Espinoza Molina, Andrés Camero Unzueta

DLR, Germany



A Hematology Foundation Model Enables Blood Cancer Screening from Peripheral Blood Smears

Muhammed Furkan Dasdelen1, Fatih Ozlugedik1, Ivan Kukuljan1, Ario Sadafi1, Matthias Hehr1, Christian Pohlkamp2, Carsten Marr1

1: Helmholtz Munich, Germany; 2: Munich Leukemia Laboratory



Surrogate Modeling of Scale-Bridging Dislocation-Driven Plasticity through Latent Dynamics and Microstructure Descriptors

Aytekin Demirci1, Stefan Sandfeld1,2

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



NVIDIA Earth-2: Open Models, Accessible Hardware, and the Future of AI for Weather and Climate

David Hall, Mike Pritchard, Karthik Kashinath, Noah Brenowitz

NVIDIA Corporation

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Amortized Bayesian Multilevel Model of Bacterial Cell-Cycle with BayesFlow

Laura Jenniches1, Lars Barquist1,2,3

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

Shivangi Kirti1, Binh Duong Nguyen1, Stefan Sandfeld1,2

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

Shantanu Kodgirwar1,2,3, Jan Rothhardt1,2,3,4, Michael Habeck3,5,6

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

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Sample Efficient Generative Molecular Optimization with Joint Self-Improvement

Serra Korkmaz1, Adam Izdebski1,2, Jonathan Pirnay3,4, Rasmus Møller-Larsen1,2, Michal Kmicikiewicz1,2, Pankhil Gawade1,2, Dominik G. Grimm2,3,4, Ewa Szczurek1,5

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



Mind the Gap – From expectation to reality in agentic AI

Peyman Vahidi1,2, Sebastian Lobentanzer1,2

1: Helmholtz Munich, Germany; 2: German Center for Diabetes Research, Germany



Genomic language model based prediction of transcription start sites in twelve yeast species

Maria Ryabtseva1, Tilman Hoffbauer1, Julien Gagneur1,2

1: Computation Molecular Medicine, School of Computation, Information and Technology, TU Munich, Germany; 2: Computational Health Center, Helmholtz Center Munich, Germany

Speed Networking I: Agentic AI & LLMs for Science
3:30pm - 4:00pm
Networking Area i-Track
Lisa Barros de Andrade e Sousa, Mayra Marin
Location: Networking Area i-Track
Session Chair: Lisa Barros de Andrade e Sousa, Helmholtz Munich, Helmholtz AI
Session Chair: Mayra Marin, Helmholtz Munich, Helmholtz AI
Discover peers and potential collaborators at the Speed Networking sessions. Join short, topic-specific conversations during the coffee breaks to exchange ideas, make meaningful connections, and spark new collaborations in a relaxed setting.\nTopics: Agentic AI & LLMs for Science 
Food & Networking Reception
6:00pm - 9:00pm
i-Track
Location: i-Track
Join us after the Poster Session for a relaxed reception with food and drinks, offering the perfect opportunity to network, exchange ideas, and connect with fellow participants.\nFood:\n\nFocaccia sticks I olives I mixed nuts (contains gluten, nuts)\nCouscous salad I beetroot falafel I pomegranate (vegan; contains gluten)\nChickpeas I hummus I marinated vegetables (vegan; contains sesame)\nSpinach and spelt patties I leaf spinach I tomato dip (contains gluten, lactose, egg)\n\nAssorted tramezzini:\n\nHummus I Mediterranean vegetables (vegan; contains gluten, sesame)\nTomato mozzarella I pesto I arugula (contains gluten, lactose, sunflower seeds; may contain nuts)\n\n\n\nBeverages:\n\n\nMineral water\n\nSelection of soft drinks\n\nTegernseer Helles\n\nGösser Radler\nLammsbräu alcohol-free beer\nSelection of white and red wine\n\n
Child Care
8:30am - 6:00pm
Konferenz 4
Location: Konferenz 4
You had until 26 May to indicate on your registration form if you required childcare. We look forward to welcoming those of you who opted for this service.\nWe\'ll look after your little scientists while you enjoy HAICON26! :)