Upcoming Talks
Past Talks
Transition Path Sampling using Normalizing Flows
Sebastian Falkner
Wed, 4. Oct 2023, 11:00Speculative decoding of LLMs
Michael Scherbela
Wed, 13. Sep 2023, 11:00Sampling complexity
Axel Böhm
Wed, 26. Jul 2023, 11:00Neural Operators
Sebastian Schmutzhard
Sun, 16. Jul 2023, 11:00Implicit regularization
Axel Böhm
Wed, 5. Jul 2023, 11:00Backtracking Counterfactuals
Simon Rittel
Wed, 28. Jun 2023, 11:00Implicit optimization
Julius Berner
Tue, 30. May 2023, 11:00Explainability and Causality
Simon Rittel
Wed, 3. May 2023, 11:00Dictionary Learning for Sparse Audio Inpainting
Georg Tauböck
Wed, 26. Apr 2023, 11:00Sharpness-Aware Minimization
Axel Böhm
Wed, 19. Apr 2023, 11:30Object Detection using Diffusion Models
Pavol Harar
Wed, 12. Apr 2023, 11:00LLMs with Tools
Andreas Stephan
Wed, 5. Apr 2023, 11:0020,000 specifications under the guarantee
Michael Sedlmayer
Wed, 29. Mar 2023, 11:00Optimizing Optimizers
Michael Scherbela
Wed, 22. Mar 2023, 11:00AlphaFold
Leon Gerard
Wed, 15. Mar 2023, 11:00How to make the Eiffel tower stand in ROME
Michael Sedlmayer
Fri, 10. Mar 2023, 11:00AlphaZero
Timo Klein
Wed, 1. Mar 2023, 11:00Causal Structure Learning
Simon Rittel
Wed, 22. Feb 2023, 10:30Graphical Models
Julius Berner
Wed, 15. Feb 2023, 10:30Model-free Reinforcement learning
Timo Klein
Wed, 8. Feb 2023, 10:30Is attention better than matrix decomposition?
Ruard van Workum
Wed, 1. Feb 2023, 10:30FakET: Simulating Cryo-Electron-Tomograms with Neural Style Transfer
Pavol Harar
Fri, 27. Jan 2023, 10:30Compute-optimal large language models
Michael Scherbela
Wed, 18. Jan 2023, 10:30Normalizing Flows
Julius Berner
Wed, 11. Jan 2023, 10:30Suprising facts and counterexamples in optimization
Axel Böhm
Wed, 4. Jan 2023, 10:30Scaling Instruction-Finetuned Language Models
Andreas Stephan
Thu, 15. Dec 2022, 16:00Self-Attention Between Datapoints
Ruard van Workum
Wed, 23. Nov 2022, 10:30Cold Diffusion
Pavol Harar
Wed, 16. Nov 2022, 10:30Distributed / federated learning
Axel Böhm
Thu, 10. Nov 2022, 15:30Deep Image Prior
Michael Scherbela
Wed, 2. Nov 2022, 10:30Drug Discovery Using Machine Learning
Leon Gerard
Thu, 20. Oct 2022, 15:30Diffusion models
Julius Berner
Wed, 12. Oct 2022, 10:30E(3)-Equivariant Neural Networks