Conditional density estimation and simulation through optimal transport. - Esteban G. Tabak; Giulio Trigila; Wenjun Zhao 002 (Mach. Learn., 2020)

Data driven conditional optimal transport. - Esteban G. Tabak; Giulio Trigila; Wenjun Zhao 002 (Mach. Learn., 2021)

Distributional barycenter problem through data-driven flows. - Esteban G. Tabak; Giulio Trigila; Wenjun Zhao 002 (Pattern Recognit., 2022)

A generative flow for conditional sampling via optimal transport. - Jason Alfonso; Ricardo Baptista; Anupam Bhakta; Noam Gal; Alfin Hou; Isa Lyubimova; Daniel Pocklington; Josef Sajonz; Giulio Trigila; Ryan Tsai (CoRR, 2023)

An implicit gradient-descent procedure for minimax problems. - Montacer Essid; Esteban G. Tabak; Giulio Trigila (Math. Methods Oper. Res., 2023)

Beyond Monte Carlo: Harnessing Diffusion Models to Simulate Financial Market Dynamics. - Andrew Lesniewski; Giulio Trigila (CoRR, 2024)