Selected Topics in Analysis; Mathematical Methods in Machine Learning
Credits:3
Grad Meth:
Reg, Aud, S-F
This course introduces students to the advanced mathematical concepts arising in the context of machine learning. The topics that we will cover include: universal approximation theorems and expressivity theory, geometric deep learning and graph neural networks, optimal transport theory and diffusion models.