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José Miguel Hernández-Lobato

Fast and Painless Image Reconstruction in Deep Image Prior Subspaces


Feb 20, 2023
Riccardo Barbano, Javier Antorán, Johannes Leuschner, José Miguel Hernández-Lobato, Željko Kereta, Bangti Jin

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Sampling-based inference for large linear models, with application to linearised Laplace


Oct 10, 2022
Javier Antorán, Shreyas Padhy, Riccardo Barbano, Eric Nalisnick, David Janz, José Miguel Hernández-Lobato

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Flow Annealed Importance Sampling Bootstrap


Aug 03, 2022
Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, Bernhard Schölkopf, José Miguel Hernández-Lobato

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Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior


Jul 11, 2022
Riccardo Barbano, Johannes Leuschner, Javier Antorán, Bangti Jin, José Miguel Hernández-Lobato

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Adapting the Linearised Laplace Model Evidence for Modern Deep Learning


Jun 17, 2022
Javier Antorán, David Janz, James Urquhart Allingham, Erik Daxberger, Riccardo Barbano, Eric Nalisnick, José Miguel Hernández-Lobato

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* Paper appearing at ICML 2022 

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Meta-learning Feature Representations for Adaptive Gaussian Processes via Implicit Differentiation


May 05, 2022
Wenlin Chen, Austin Tripp, José Miguel Hernández-Lobato

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* 17 pages, 6 figures, 3 tables, 1 algorithm 

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A Probabilistic Deep Image Prior for Computational Tomography


Feb 28, 2022
Javier Antorán, Riccardo Barbano, Johannes Leuschner, José Miguel Hernández-Lobato, Bangti Jin

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Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo


Feb 09, 2022
Ignacio Peis, Chao Ma, José Miguel Hernández-Lobato

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Addressing Bias in Active Learning with Depth Uncertainty Networks... or Not


Dec 13, 2021
Chelsea Murray, James U. Allingham, Javier Antorán, José Miguel Hernández-Lobato

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* arXiv admin note: substantial text overlap with arXiv:2112.06796 

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Depth Uncertainty Networks for Active Learning


Dec 13, 2021
Chelsea Murray, James U. Allingham, Javier Antorán, José Miguel Hernández-Lobato

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