Moreno-Munoz, Pablo

10 publications

ICMLW 2024 Decoder Ensembling for Learned Latent Geometries Stas Syrota, Pablo Moreno-Muñoz, Søren Hauberg

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

AISTATS 2023 Adaptive Cholesky Gaussian Processes Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Munoz, Wouter Boomsma, Jes Frellsen, Soren Hauberg

NeurIPSW 2023 Beyond Parameter Averaging in Model Aggregation Pol G. Recasens, Jordi Torres, Josep Lluis Berral, Søren Hauberg, Pablo Moreno-Muñoz

NeurIPS 2023 On Masked Pre-Training and the Marginal Likelihood Pablo Moreno-Muñoz, Pol Garcia Recasens, Søren Hauberg

NeurIPS 2023 Riemannian Laplace Approximations for Bayesian Neural Networks Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis

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

NeurIPS 2022 Revisiting Active Sets for Gaussian Process Decoders Pablo Moreno-Muñoz, Cilie Feldager, Søren Hauberg

NeurIPS 2021 Modular Gaussian Processes for Transfer Learning Pablo Moreno-Muñoz, Antonio Artes, Mauricio Álvarez

NeurIPS 2018 Heterogeneous Multi-Output Gaussian Process Prediction Pablo Moreno-Muñoz, Antonio Artés, Mauricio Álvarez