Gonzalo Rios

Publication Activity (10 Years)

Years Active: 2013-2020
Publications (10 Years): 8

Top Topics

Bayesian Learning

Relevance Vector Machine

Hyperparameters

Latent Variable Models

Top Venues

IEEE Signal Process. Lett.

Publications

Gonzalo Rios
Transport Gaussian Processes for Regression. CoRR (2020)
Gonzalo Rios, Felipe A. Tobar
Compositionally-warped Gaussian processes. Neural Networks 118 (2019)
Felipe A. Tobar, Gonzalo Rios
Compositionally-Warped Gaussian Processes. CoRR (2019)
Gonzalo Rios, Julio D. Backhoff Veraguas, Joaquín Fontbona, Felipe A. Tobar
Bayesian Learning with Wasserstein Barycenters. CoRR (2018)
Gonzalo Rios, Felipe A. Tobar
Learning non-Gaussian Time Series using the Box-Cox Gaussian Process. CoRR (2018)
Gonzalo Rios, Felipe A. Tobar
Learning non-Gaussian Time Series using the Box-Cox Gaussian Process. IJCNN (2018)
Felipe A. Tobar, Gonzalo Rios, Tomas Valdivia, Pablo Guerrero
Recovering Latent Signals From a Mixture of Measurements Using a Gaussian Process Prior. IEEE Signal Process. Lett. 24 (2) (2017)
Felipe A. Tobar, Gonzalo Rios, Tomas Valdivia, Pablo Guerrero
Recovering Latent Signals from a Mixture of Measurements using a Gaussian Process Prior. CoRR (2017)
Renzo Angles, Pablo Barceló, Gonzalo Rios
A Practical Query Language for Graph DBs. AMW (2013)