Seminar
The TransferLab Seminar is a platform where researchers and engineers share and discuss recent advances in AI/ML, striking a balance between accessibility and mathematical depth.
We organize comprehensive talks on ML, RL, DL and statistics, emphasizing both theoretical understanding and practical implementation. These range from introductory overviews to recent developments - and are open to all interested individuals!
Each talk, lasting about 45min followed by around 15min discussion, focuses on a specific topic related to our ongoing series topics. To stay informed, follow the appliedAI Institute on LinkedIn. If you’re interested in presenting your work, contact us.
Upcoming Talks
Scheduled
Scientific Inference With Interpretable Machine Learning -
Timo Freiesleben (University of Tübingen)
Previous Talks
Done
Studying LLMs with Influence Functions -
Fabio Peruzzo (appliedAI Initiative)
Done
Representation Equivalent Neural Operators -
Emmanuel de Bézenac (ETH)
Done
Joint Probability Trees -
Tom Schierenbeck (University of Bremen)
Done
Episode-based RL with Movement Primitive -
Maximilian Hüttenrauch (appliedAI Initiative)
Done
Learning Function Operators with Neural Networks -
Samuel Burbulla (appliedAI Institute)
Done
Double Gumbel Q-learning -
David Yu-Tung Hui (MILA)