Pablo Moreno-Muñoz

28 papers A* 7A 1Misc 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2024 — conf
Decoder ensembling for learned latent geometries.
GRaM
Stas Syrota, Pablo Moreno-Muñoz, Søren Hauberg
2024 J jnl
Decoder ensembling for learned latent geometries.
CoRR
Stas Syrota, Pablo Moreno-Muñoz, Søren Hauberg
2024 A* conf
Gradients of Functions of Large Matrices.
NeurIPS
Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy, Søren Hauberg
2024 J jnl
Gradients of Functions of Large Matrices.
CoRR
Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy, Søren Hauberg
2023 A conf
Adaptive Cholesky Gaussian Processes.
AISTATS
Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg
2023 A* conf
On Masked Pre-training and the Marginal Likelihood.
NeurIPS
Pablo Moreno-Muñoz, Pol Garcia Recasens, Søren Hauberg
2023 J jnl
On Masked Pre-training and the Marginal Likelihood.
CoRR
Pablo Moreno-Muñoz, Pol G. Recasens, Søren Hauberg
2023 A* conf
Riemannian Laplace approximations for Bayesian neural networks.
NeurIPS
Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis
2023 J jnl
Riemannian Laplace approximations for Bayesian neural networks.
CoRR
Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis
2022 J jnl
Adaptive Cholesky Gaussian Processes.
CoRR
Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg
2022 A* conf
Laplacian Autoencoders for Learning Stochastic Representations.
NeurIPS
Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg
2022 J jnl
Laplacian Autoencoders for Learning Stochastic Representations.
CoRR
Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg
2022 J jnl
Multinomial Sampling of Latent Variables for Hierarchical Change-Point Detection.
J. Signal Process. Syst.
Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez
2022 A* conf
Revisiting Active Sets for Gaussian Process Decoders.
NeurIPS
Pablo Moreno-Muñoz, Cilie W. Feldager, Søren Hauberg
2022 J jnl
Revisiting Active Sets for Gaussian Process Decoders.
CoRR
Pablo Moreno-Muñoz, Cilie W. Feldager, Søren Hauberg
2021 J jnl
Change-point detection in hierarchical circadian models.
Pattern Recognit.
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
2021 A* conf
Modular Gaussian Processes for Transfer Learning.
NeurIPS
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
2021 J jnl
Modular Gaussian Processes for Transfer Learning.
CoRR
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
2020 Misc conf
Continual Learning for Infinite Hierarchical Change-Point Detection.
ICASSP
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
2020 — conf
Multinomial Sampling for Hierarchical Change-Point Detection.
MLSP
Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez
2020 J jnl
Multinomial Sampling for Hierarchical Change-Point Detection.
CoRR
Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez
2020 J jnl
Passive detection of behavioral shifts for suicide attempt prevention.
CoRR
Pablo Moreno-Muñoz, Lorena Romero-Medrano, Ángela Moreno, Jesús Herrera-López, Enrique Baca-García, Antonio Artés-Rodríguez
2020 J jnl
Recyclable Gaussian Processes.
CoRR
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
2019 J jnl
Continual Learning for Infinite Hierarchical Change-Point Detection.
CoRR
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
2019 J jnl
Continual Multi-task Gaussian Processes.
CoRR
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
2018 J jnl
Change-Point Detection on Hierarchical Circadian Models.
CoRR
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
2018 A* conf
Heterogeneous Multi-output Gaussian Process Prediction.
NeurIPS
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
2018 J jnl
Heterogeneous Multi-output Gaussian Process Prediction.
CoRR
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez