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Maurizio Filippone

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Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI

Feb 06, 2024
Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, Jose Miguel Hernandez Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang

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A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning

Feb 05, 2024
Abdelhakim Benechehab, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Balázs Kégl

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Variational DAG Estimation via State Augmentation With Stochastic Permutations

Feb 04, 2024
Edwin V. Bonilla, Pantelis Elinas, He Zhao, Maurizio Filippone, Vassili Kitsios, Terry O'Kane

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Spatial Bayesian Neural Networks

Nov 16, 2023
Andrew Zammit-Mangion, Michael D. Kaminski, Ba-Hien Tran, Maurizio Filippone, Noel Cressie

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Multi-timestep models for Model-based Reinforcement Learning

Oct 11, 2023
Abdelhakim Benechehab, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl

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One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models

May 30, 2023
Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone

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When is Importance Weighting Correction Needed for Covariate Shift Adaptation?

Mar 07, 2023
Davit Gogolashvili, Matteo Zecchin, Motonobu Kanagawa, Marios Kountouris, Maurizio Filippone

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Continuous-Time Functional Diffusion Processes

Mar 01, 2023
Giulio Franzese, Simone Rossi, Dario Rossi, Markus Heinonen, Maurizio Filippone, Pietro Michiardi

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Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes

Feb 09, 2023
Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone

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