Our seminar
We schedule talks on ML, RL, DL and statistics, at varying difficulty levels, ranging from overviews to recent advances. Open to anyone, no matter your background. If you are interested, follow the appliedAI Institute on LinkedIn for updates. If you would like to present your work, drop us a line.
Our block seminars
General schedule
Done
Concept Activation Vectors
Done
An information-theoretic perspective on model interpretation
Done
Effects of XAI on perception, trust and acceptance
Done
Latent space prototype interpretability: Strengths and shortcomings
Done
Influence Diagnostics Under Self-Concordance
Done
Manifold Restricted Interventional Shapley Values
Done
Influence functions and Data Pruning: from theory to non-convergence
Done
Shapley values for XAI: the good, the bad and the ugly
Done
The debate on the accuracy-interpretability tradeoff
Done
Introduction to Explainable AI
Done
Sampling Free Epistemic Uncertainty Through Approximated Variance Propagation
Done
Uncertainty quantification with conformal prediction