New York City, United States
Randall Balestriero is a postdoctorate researcher at FAIR in Prof. Yann LeCun's team. He mostly focuses on providing novel deep learning solutions which are inspired and supported by theoretical results. Hopefully, with the least amount of assumptions in the task, data, and model at hand. He has managed to successfully pursue this goal during his PhD using spline functions, and he is not working on further extending and generalizing those results e.g. for self-supervised learning.
Randall Balestriero, Richard G. Baraniuk, Zichao Wang
Ahmed Imtiaz Humayun, Anastasios Kyrillidis, Randall Balestriero, Richard Baraniuk