Talk

Mathematics and Machine Learning

Abstract

This weekly lecture series will cover topics at the intersection of mathematics and machine learning, running from November 4, 2024, to March 24, 2025.

Topics include:

  • Deep learning (brief introduction)
  • Convolutional neural networks
  • Autoencoders
  • LLMs for code generation
  • Foundations of feature learning
  • Geometric and topological deep learning
  • Dynamical systems and machine learning
  • Varieties and machine learning, with applications to computer vision and biology

Lecturers: Paul Breiding, Marzieh Eidi, Jan Ewald, Robert Hasse, Parvaneh Joharinad, Duc Luu, Guido Montufar, Nico Scherf, Diaaeldin Taha, Angelica Torres.

Organizers: Parvaneh Joharinad, Diaaeldin Taha.

Keywords
mathematics and machine learning

Audience
Students and researchers in Math and/or CS

Language
English

lecture
01.10.24 31.01.25

Regular lectures Winter semester 2024-2025 Regular lectures Winter semester 2024-2025

MPI for Mathematics in the Sciences / University of Leipzig see the lecture detail pages

Katharina Matschke

MPI for Mathematics in the Sciences Contact via Mail