Discovering Weakly-Interacting Factors in a Complex Stochastic Process. - Charlie Frogner; Avi Pfeffer (NIPS, 2007)

Learning with a Wasserstein Loss. - Charlie Frogner; Chiyuan Zhang; Hossein Mobahi; Mauricio Araya-Polo; Tomaso A. Poggio (NIPS, 2015)

Learning Embeddings into Entropic Wasserstein Spaces. - Charlie Frogner; Farzaneh Mirzazadeh; Justin Solomon 001 (ICLR (Poster), 2019)

Fast and Flexible Inference of Joint Distributions from their Marginals. - Charlie Frogner; Tomaso A. Poggio (ICML, 2019)

Approximate Inference with Wasserstein Gradient Flows. - Charlie Frogner; Tomaso A. Poggio (AISTATS, 2020)

Incorporating Unlabeled Data into Distributionally Robust Learning. - Charlie Frogner; Sebastian Claici; Edward Chien; Justin Solomon 001 (J. Mach. Learn. Res., 2021)