A random space-time birth particle method for 2d vortex equations with external field. - Joaquín Fontbona; Sylvie Méléard (Math. Comput., 2008)

Robust Utility Maximization without Model Compactness. - Julio D. Backhoff Veraguas; Joaquín Fontbona (SIAM J. Financial Math., 2016)

Bayesian Learning with Wasserstein Barycenters. - Gonzalo Rios; Julio D. Backhoff Veraguas; Joaquín Fontbona; Felipe A. Tobar (CoRR, 2018)

Skeletal stochastic differential equations for continuous-state branching processes. - Dorottya Fekete; Joaquín Fontbona; Andreas E. Kyprianou (J. Appl. Probab., 2019)

Skeletal stochastic differential equations for superprocesses. - Dorottya Fekete; Joaquín Fontbona; Andreas E. Kyprianou (J. Appl. Probab., 2020)

A novel notion of barycenter for probability distributions based on optimal weak mass transport. - Elsa Cazelles; Felipe A. Tobar; Joaquín Fontbona (NeurIPS, 2021)

Streaming computation of optimal weak transport barycenters. - Elsa Cazelles; Felipe A. Tobar; Joaquín Fontbona (CoRR, 2021)

Data Science for Engineers: A Teaching Ecosystem. - Felipe A. Tobar; Felipe Bravo-Marquez; Jocelyn Dunstan; Joaquín Fontbona; Alejandro Maass; Daniel Remenik; Jorge F. Silva (IEEE Signal Process. Mag., 2021)

Symmetries in Overparametrized Neural Networks: A Mean Field View. - Javier Maass Martínez; Joaquín Fontbona (NeurIPS, 2024)

Stochastic gradient descent for barycenters in Wasserstein space. - Julio Backhoff; Joaquín Fontbona; Gonzalo Rios; Felipe Tobar (J. Appl. Probab., 2025)

Towards SFW sampling for diffusion models via external conditioning. - Camilo Carvajal Reyes; Joaquín Fontbona; Felipe Tobar (CoRR, 2025)