Gonzalo Rios

According to our database, Gonzalo Rios authored at least 7 papers between 2013 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

2020

Transport Gaussian Processes for Regression.

Gonzalo Rios

CoRR, 2020

2019

Compositionally-warped Gaussian processes.

Gonzalo Rios, Felipe A. Tobar

Neural Networks, 2019

2018

Bayesian Learning with Wasserstein Barycenters.

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

CoRR, 2018

Learning non-Gaussian Time Series using the Box-Cox Gaussian Process.

Gonzalo Rios, Felipe A. Tobar

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Recovering Latent Signals From a Mixture of Measurements Using a Gaussian Process Prior.

Felipe A. Tobar, Gonzalo Rios, Tomas Valdivia, Pablo Guerrero

IEEE Signal Process. Lett., 2017

2013

A Practical Query Language for Graph DBs.

Renzo Angles, Pablo Barceló, Gonzalo Rios

Proceedings of the 7th Alberto Mendelzon International Workshop on Foundations of Data Management, 2013