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