Mathematics and Machine Learning

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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