Multi-hour tutorials, summer-school lectures, and short-course materials covering interpretable AI, deep learning theory, generalized PCA, subspace clustering, and dynamical-systems methods for vision.
Most recent tutorial materials.
A tutorial on the principles and methods behind modern interpretable AI — covering post-hoc explainability (Shapley values, attribution methods) and explainable-by-design approaches (information pursuit, concept-based models). Presented at ICCV 2025, CVPR 2025, and CPAL 2025.
By year, newest first.
Workshops co-organized by Prof. Vidal at major venues.
Slides, recordings, and reading lists for past tutorials are available on the linked pages.