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
Tractable Probabilistic Circuits -
Guy Van den Broeck (UCLA)
Done
Concept Activation Vectors -
Iván Rodríguez (appliedAI Initiative)
Done
An information-theoretic perspective on model interpretation -
Kristof Schröder (appliedAI Institute)
Done
Effects of XAI on perception, trust and acceptance -
Maternus Herold (appliedAI Institute)
Done
Latent space prototype interpretability: Strengths and shortcomings -
Done
Influence Diagnostics Under Self-Concordance -