Pablo Moreno-Muñoz

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Gaussian Process

Top Venues

Publications

Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy, Søren Hauberg
Gradients of Functions of Large Matrices. CoRR (2024)
Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis
Riemannian Laplace approximations for Bayesian neural networks. NeurIPS (2023)
Pablo Moreno-Muñoz, Pol Garcia Recasens, Søren Hauberg
On Masked Pre-training and the Marginal Likelihood. NeurIPS (2023)
Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg
Adaptive Cholesky Gaussian Processes. AISTATS (2023)
Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis
Riemannian Laplace approximations for Bayesian neural networks. CoRR (2023)
Pablo Moreno-Muñoz, Pol G. Recasens, Søren Hauberg
On Masked Pre-training and the Marginal Likelihood. CoRR (2023)
Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg
Laplacian Autoencoders for Learning Stochastic Representations. NeurIPS (2022)
Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg
Adaptive Cholesky Gaussian Processes. CoRR (2022)
Pablo Moreno-Muñoz, Cilie W. Feldager, Søren Hauberg
Revisiting Active Sets for Gaussian Process Decoders. CoRR (2022)
Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg
Laplacian Autoencoders for Learning Stochastic Representations. CoRR (2022)
Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez
Multinomial Sampling of Latent Variables for Hierarchical Change-Point Detection. J. Signal Process. Syst. 94 (2) (2022)
Pablo Moreno-Muñoz, Cilie W. Feldager, Søren Hauberg
Revisiting Active Sets for Gaussian Process Decoders. NeurIPS (2022)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Modular Gaussian Processes for Transfer Learning. NeurIPS (2021)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Modular Gaussian Processes for Transfer Learning. CoRR (2021)
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
Change-point detection in hierarchical circadian models. Pattern Recognit. 113 (2021)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Recyclable Gaussian Processes. CoRR (2020)
Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez
Multinomial Sampling for Hierarchical Change-Point Detection. CoRR (2020)
Pablo Moreno-Muñoz, Lorena Romero-Medrano, Ángela Moreno, Jesús Herrera-López, Enrique Baca-García, Antonio Artés-Rodríguez
Passive detection of behavioral shifts for suicide attempt prevention. CoRR (2020)
Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez
Multinomial Sampling for Hierarchical Change-Point Detection. MLSP (2020)
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
Continual Learning for Infinite Hierarchical Change-Point Detection. ICASSP (2020)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Continual Multi-task Gaussian Processes. CoRR (2019)
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
Continual Learning for Infinite Hierarchical Change-Point Detection. CoRR (2019)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Heterogeneous Multi-output Gaussian Process Prediction. NeurIPS (2018)
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
Heterogeneous Multi-output Gaussian Process Prediction. CoRR (2018)
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
Change-Point Detection on Hierarchical Circadian Models. CoRR (2018)