Bayesian Nonparametrics for Offline Skill Discovery. - Valentin Villecroze; Harry J. Braviner; Panteha Naderian; Chris J. Maddison; Gabriel Loaiza-Ganem (ICML, 2022)

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models. - George Stein; Jesse C. Cresswell; Rasa Hosseinzadeh; Yi Sui 001; Brendan Leigh Ross; Valentin Villecroze; Zhaoyan Liu; Anthony L. Caterini; J. Eric T. Taylor; Gabriel Loaiza-Ganem (NeurIPS, 2023)

Data-Efficient Multimodal Fusion on a Single GPU. - Noël Vouitsis; Zhaoyan Liu; Satya Krishna Gorti; Valentin Villecroze; Jesse C. Cresswell; Guangwei Yu; Gabriel Loaiza-Ganem; Maksims Volkovs (CVPR, 2024)

Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples. - Noël Vouitsis; Rasa Hosseinzadeh; Brendan Leigh Ross; Valentin Villecroze; Satya Krishna Gorti; Jesse C. Cresswell; Gabriel Loaiza-Ganem (CoRR, 2024)

Deep Ensembles Secretly Perform Empirical Bayes. - Gabriel Loaiza-Ganem; Valentin Villecroze; Yixin Wang (CoRR, 2025)

Last Layer Empirical Bayes. - Valentin Villecroze; Yixin Wang; Gabriel Loaiza-Ganem (CoRR, 2025)