Salmerón, Antonio

7 publications

PGM 2024 A Divide and Conquer Approach for Solving Structural Causal Models Anna Rodum Bjøru, Rafael Cabañas, Helge Langseth, Antonio Salmerón

PGM 2022 A Reparameterization of Mixtures of Truncated Basis Functions and Its Applications Antonio Salmerón, Helge Langseth, Andrés Masegosa, Thomas D. Nielsen

PGM 2020 Probabilistic Graphical Models with Neural Networks in InferPy Rafael Cabañas, Javier Cózar, Antonio Salmerón, Andrés R. Masegosa

JAIR 2018 A Review of Inference Algorithms for Hybrid Bayesian Networks Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen

ICML 2017 Bayesian Models of Data Streams with Hierarchical Power Priors Andrés Masegosa, Thomas D. Nielsen, Helge Langseth, Darı́o Ramos-López, Antonio Salmerón, Anders L. Madsen

PGM 2016 D-VMP: Distributed Variational Message Passing Andrés R. Masegosa, Ana M. Martı́nez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen

PGM 2016 Scalable MAP Inference in Bayesian Networks Based on a mAP-Reduce Approach Darı́o Ramos-López, Antonio Salmerón, Rafel Rumı́, Ana M. Martı́nez, Thomas D. Nielsen, Andrés R. Masegosa, Helge Langseth, Anders L. Madsen