Conference Agenda
| Session | ||
Session 3b: Generative AI
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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| Session Abstract | ||
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Choose from expert-led talks running simultaneously to explore AI topics that match your interests. | ||
| Presentations | ||
2:15pm - 2:35pm
Invited talk ID: 1399 / Wed | GERN 14:15 Parallel S 3b: 001 Modalities: Simulation Data, Tabular Data Methods: Generative Models, Probabilistic Methods, Uncertainty Quantification Application Domain: Matter AI for Fundamental Physics: Learning from Big Data at the LHC DESY, Germany 2:35pm - 2:48pm
ID: 391 / Wed | GERN 14:15 Parallel S 3b: 002 Modalities: Image Methods: Generative Models, Reinforcement Learning Application Domain: Core Machine Learning Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models 1TUM, Germany; 2University of Oxford, United Kingdom; 3King’s College London, United Kingdom; 4Microsoft Research, United States 2:48pm - 3:01pm
ID: 122 / Wed | GERN 14:15 Parallel S 3b: 003 Modalities: Tabular Data Methods: Generative Models Application Domain: Health SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis 1LMU Munich; 2Munich Center for Machine Learning (MCML) 3:01pm - 3:14pm
ID: 127 / Wed | GERN 14:15 Parallel S 3b: 004 Modalities: Image, Text Methods: Generative Models Application Domain: Core Machine Learning Stitch: Training-Free Position Control in Multimodal Diffusion Transformers 1Helmholtz Munich, Germany; 2Technical University of Munich; 3University of Copenhagen | ||