Joaquín Fontbona

According to our database, Joaquín Fontbona authored at least 10 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Stochastic gradient descent for barycenters in Wasserstein space.

Julio Backhoff, Joaquín Fontbona, Gonzalo Rios, Felipe Tobar

J. Appl. Probab., 2025

2024

Symmetries in Overparametrized Neural Networks: A Mean Field View.

Javier Maass Martínez, Joaquín Fontbona

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Streaming computation of optimal weak transport barycenters.

Elsa Cazelles, Felipe A. Tobar, Joaquín Fontbona

CoRR, 2021

A novel notion of barycenter for probability distributions based on optimal weak mass transport.

Elsa Cazelles, Felipe A. Tobar, Joaquín Fontbona

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Skeletal stochastic differential equations for superprocesses.

Dorottya Fekete, Joaquín Fontbona, Andreas E. Kyprianou

J. Appl. Probab., 2020

2019

Skeletal stochastic differential equations for continuous-state branching processes.

Dorottya Fekete, Joaquín Fontbona, Andreas E. Kyprianou

J. Appl. Probab., 2019

2018

Bayesian Learning with Wasserstein Barycenters.

Gonzalo Rios, Julio D. Backhoff Veraguas, Joaquín Fontbona, Felipe A. Tobar

CoRR, 2018

2016

Robust Utility Maximization without Model Compactness.

Julio D. Backhoff Veraguas, Joaquín Fontbona

SIAM J. Financial Math., 2016

2008

A random space-time birth particle method for 2d vortex equations with external field.

Joaquín Fontbona, Sylvie Méléard

Math. Comput., 2008