Upcoming Talks
Toolformer
Andreas Stephan
Wed, 5. Apr 2023, 11:00TBD
Pavol Harar
Wed, 12. Apr 2023, 11:00TBD
Axel Böhm
Wed, 19. Apr 2023, 11:00TBD
Simon Rittel
Wed, 26. Apr 2023, 11:00Neural Operators
Sebastian Schmutzhard
Wed, 3. May 2023, 11:00Past Talks
20,000 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, 10:30Deep Learning in Electron Tomography
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