Misha Belkin is a Professor at Halicioglu Data Science Institute and Computer Science and Engineering Department at UCSD and an Amazon Scholar. His recent work has been concerned with understanding the remarkable mathematical and statistical phenomena observed in deep learning, particularly feature learning and over-parameterization in deep learning. He is the editor-in-chief of SIAM Journal on Mathematics of Data Science (SIMODS).
 

Talk

The puzzle of dimensionality and feature learning in modern Deep Learning and LLM | June 3