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Pablo Moreno-Muñoz
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2020 – today
- 2024
- [i14]Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy, Søren Hauberg:
Gradients of Functions of Large Matrices. CoRR abs/2405.17277 (2024) - 2023
- [c9]Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg:
Adaptive Cholesky Gaussian Processes. AISTATS 2023: 408-452 - [c8]Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis:
Riemannian Laplace approximations for Bayesian neural networks. NeurIPS 2023 - [c7]Pablo Moreno-Muñoz, Pol Garcia Recasens, Søren Hauberg:
On Masked Pre-training and the Marginal Likelihood. NeurIPS 2023 - [i13]Pablo Moreno-Muñoz, Pol G. Recasens, Søren Hauberg:
On Masked Pre-training and the Marginal Likelihood. CoRR abs/2306.00520 (2023) - [i12]Federico Bergamin, Pablo Moreno-Muñoz, Søren Hauberg, Georgios Arvanitidis:
Riemannian Laplace approximations for Bayesian neural networks. CoRR abs/2306.07158 (2023) - 2022
- [j2]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): 215-227 (2022) - [c6]Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg:
Laplacian Autoencoders for Learning Stochastic Representations. NeurIPS 2022 - [c5]Pablo Moreno-Muñoz, Cilie W. Feldager, Søren Hauberg:
Revisiting Active Sets for Gaussian Process Decoders. NeurIPS 2022 - [i11]Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg:
Adaptive Cholesky Gaussian Processes. CoRR abs/2202.10769 (2022) - [i10]Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte Detlefsen, Søren Hauberg:
Laplacian Autoencoders for Learning Stochastic Representations. CoRR abs/2206.15078 (2022) - [i9]Pablo Moreno-Muñoz, Cilie W. Feldager, Søren Hauberg:
Revisiting Active Sets for Gaussian Process Decoders. CoRR abs/2209.04636 (2022) - 2021
- [j1]Pablo Moreno-Muñoz, David Ramírez
, Antonio Artés-Rodríguez
:
Change-point detection in hierarchical circadian models. Pattern Recognit. 113: 107820 (2021) - [c4]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Modular Gaussian Processes for Transfer Learning. NeurIPS 2021: 24730-24740 - [i8]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Modular Gaussian Processes for Transfer Learning. CoRR abs/2110.13515 (2021) - 2020
- [c3]Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez:
Continual Learning for Infinite Hierarchical Change-Point Detection. ICASSP 2020: 3582-3586 - [c2]Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez:
Multinomial Sampling for Hierarchical Change-Point Detection. MLSP 2020: 1-6 - [i7]Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez:
Multinomial Sampling for Hierarchical Change-Point Detection. CoRR abs/2007.12420 (2020) - [i6]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Recyclable Gaussian Processes. CoRR abs/2010.02554 (2020) - [i5]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 abs/2011.09848 (2020)
2010 – 2019
- 2019
- [i4]Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez:
Continual Learning for Infinite Hierarchical Change-Point Detection. CoRR abs/1910.10087 (2019) - [i3]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
:
Continual Multi-task Gaussian Processes. CoRR abs/1911.00002 (2019) - 2018
- [c1]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez:
Heterogeneous Multi-output Gaussian Process Prediction. NeurIPS 2018: 6712-6721 - [i2]Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
:
Heterogeneous Multi-output Gaussian Process Prediction. CoRR abs/1805.07633 (2018) - [i1]Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez:
Change-Point Detection on Hierarchical Circadian Models. CoRR abs/1809.04197 (2018)
Coauthor Index
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last updated on 2024-06-19 21:46 CEST by the dblp team
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