Kevin Scaman

Researcher in machine learning, optimization and graph theory, Inria and Ecole Normale Supérieure, Paris

Mathematics of Deep Learning - M2 MASH

You will find below material (slides and TDs) for the course.

  • Lesson 1: Introduction and general overview [slides, TD]

  • Lesson 2: Non-convex optimization [slides, TD]

  • Lesson 3: Structure and group invariances [slides, TD, DM]

  • Lesson 4: Approximation guarantees [slides, TD]

  • Lesson 5: Stability and robustness [slides, TD]

  • Lesson 6: Infinite width limit of NNs [slides, TD]

  • Lesson 7: Generative models [slides, TD]