Charlie Frogner

Postdoctoral Associate
Geometric Data Processing Group
Massachusetts Institute of Technology
ude //tod// tim (ta) rengorf
Google Scholar / GitHub

I am a Postdoctoral Associate in the group of Justin Solomon, part of the Computer Science and Artificial Intelligence Laboratory at MIT. My research focuses on machine learning and artificial intelligence, with a particular interest in algorithms involving optimal transport between probability measures. Recently this has included topics such as robust learning, probabilistic inference, and data embedding. I obtained my Ph.D. from MIT where I was part of the Center for Brains, Minds, and Machines. My thesis advisor was Tomaso Poggio.

Recent projects

Wasserstein loss function for learning
Learning embeddings into entropic Wasserstein spaces
Inference of joint distributions from their marginals
Approximate inference with Wasserstein gradient flows
Distributionally robust learning