Heterogeneous Multi-output Gaussian Process Prediction. - Pablo Moreno-Muñoz; Antonio Artés-Rodríguez; Mauricio A. Álvarez (NeurIPS, 2018)

Continual Multi-task Gaussian Processes. - Pablo Moreno-Muñoz; Antonio Artés-Rodríguez; Mauricio A. Álvarez (CoRR, 2019)

Continual Learning for Infinite Hierarchical Change-Point Detection. - Pablo Moreno-Muñoz; David Ramírez 001; Antonio Artés-Rodríguez (ICASSP, 2020)

Multinomial Sampling for Hierarchical Change-Point Detection. - Lorena Romero-Medrano; Pablo Moreno-Muñoz; Antonio Artés-Rodríguez (MLSP, 2020)

Recyclable Gaussian Processes. - Pablo Moreno-Muñoz; Antonio Artés-Rodríguez; Mauricio A. Álvarez (CoRR, 2020)

Passive detection of behavioral shifts for suicide attempt prevention. - Pablo Moreno-Muñoz; Lorena Romero-Medrano; Ángela Moreno; Jesús Herrera-López; Enrique Baca-García; Antonio Artés-Rodríguez (CoRR, 2020)

Modular Gaussian Processes for Transfer Learning. - Pablo Moreno-Muñoz; Antonio Artés-Rodríguez; Mauricio A. Álvarez (NeurIPS, 2021)

Change-point detection in hierarchical circadian models. - Pablo Moreno-Muñoz; David Ramírez 001; Antonio Artés-Rodríguez (Pattern Recognit., 2021)

Laplacian Autoencoders for Learning Stochastic Representations. - Marco Miani; Frederik Warburg; Pablo Moreno-Muñoz; Nicki Skafte Detlefsen; Søren Hauberg (NeurIPS, 2022)

Revisiting Active Sets for Gaussian Process Decoders. - Pablo Moreno-Muñoz; Cilie W. Feldager; Søren Hauberg (NeurIPS, 2022)

Multinomial Sampling of Latent Variables for Hierarchical Change-Point Detection. - Lorena Romero-Medrano; Pablo Moreno-Muñoz; Antonio Artés-Rodríguez (J. Signal Process. Syst., 2022)

Adaptive Cholesky Gaussian Processes. - Simon Bartels; Kristoffer Stensbo-Smidt; Pablo Moreno-Muñoz; Wouter Boomsma; Jes Frellsen; Søren Hauberg (AISTATS, 2023)

Riemannian Laplace approximations for Bayesian neural networks. - Federico Bergamin; Pablo Moreno-Muñoz; Søren Hauberg; Georgios Arvanitidis (NeurIPS, 2023)

On Masked Pre-training and the Marginal Likelihood. - Pablo Moreno-Muñoz; Pol Garcia Recasens; Søren Hauberg (NeurIPS, 2023)

Gradients of Functions of Large Matrices. - Nicholas Krämer; Pablo Moreno-Muñoz; Hrittik Roy; Søren Hauberg (NeurIPS, 2024)

Decoder ensembling for learned latent geometries. - Stas Syrota; Pablo Moreno-Muñoz; Søren Hauberg (CoRR, 2024)