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
Manifold Restricted Interventional Shapley Values -
Done
Influence functions and Data Pruning: from theory to non-convergence -
Fabio Peruzzo (appliedAI Initiative)
Done
Shapley values for XAI: the good, the bad and the ugly -
Anes Benmerzoug (appliedAI Initiative)
Done
The debate on the accuracy-interpretability tradeoff -
Miguel de Benito Delgado
Done
Introduction to Explainable AI -
Faried Abu Zaid (appliedAI Institute)
Done
Sampling Free Epistemic Uncertainty Through Approximated Variance Propagation -
Faried Abu Zaid (appliedAI Institute)