Ezra Winston


I am a PhD student in the CMU ML department, advised by Zico Kolter. I'm interested in advancing our fundamental understanding of deep learning, both through theory and experimentation. My current focus is on transformers, starting from basic questions like representation capacity and the role of dynamic sparse attention. I've also worked on novel, mathematically-principled approaches to deep learning in areas like equilibrium models, provable robustness, data poisoning, and domain adaptation.

ML publications

ML preprints and projects

Other publications