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 June 2026, 10:20:10am CEST
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Daily Overview |
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Session 1b: Interpretability
Session Topics: Agentic AI, Foundation Models, Generative Models, Graph Neural Networks, Physics-informed Machine Learning, Reinforcement Learning, Probabilistic Methods, Uncertainty Quantification, Audio, Other, Graphs, Image, Multimodal Data, Simulation Data, Tabular Data, Text, Time Series, Video, Other, Core Machine Learning, Aeronautics, Space & Transport, Energy, Earth & Environment, Health, Information, Matter
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Choose from expert-led talks running simultaneously to explore AI topics that match your interests. | ||
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2:00pm - 2:20pm
Invited talk ID: 409 / Tue | GERN 14 Parallel S 1b: 001 Modalities: Tabular Data Methods: Other Application Domain: Core Machine Learning, Aeronautics, Space & Transport, Energy, Earth & Environment, Health, Information, Matter Learning Actionable Insights from Scientific Data CISPA Helmholtz Center for Information Security, Germany 2:20pm - 2:34pm
ID: 217 / Tue | GERN 14 Parallel S 1b: 002 Modalities: Graphs, Multimodal Data Methods: Foundation Models, Graph Neural Networks Application Domain: Health RIBEX: Predicting and Explaining RNA Binding Across Structured and Intrinsically Disordered Regions (IDR)-rich Proteins 1Helmholtz Munich, Germany; 2School of Computation, Information and Technology, TUM; 3School of Social Sciences and Technology, TUM; 4Munich Center for Machine Learning (MCML) 2:34pm - 2:48pm
ID: 233 / Tue | GERN 14 Parallel S 1b: 003 Modalities: Other Methods: Generative Models, Other Application Domain: Core Machine Learning, Health FoldSAE: Learning to Steer Protein Folding Through Sparse Representations 1University of Warsaw, Poland; 2Warsaw University of Technology, Poland; 3Helmholtz Munich, Germany; 4Ideas Research Institute 2:48pm - 3:02pm
ID: 339 / Tue | GERN 14 Parallel S 1b: 004 Modalities: Multimodal Data, Tabular Data, Other Methods: Foundation Models, Probabilistic Methods, Other Application Domain: Core Machine Learning, Health 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
ID: 382 / Tue | GERN 14 Parallel S 1b: 005 Modalities: Tabular Data Methods: Foundation Models, Generative Models Application Domain: Health Embpy and Perturbation World Models: A Foundation-Model Stack for Predicting Cellular Responses Helmholtz Munich, Germany | ||
