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MultiScale MeshGraphNets


Oct 02, 2022
Meire Fortunato, Tobias Pfaff, Peter Wirnsberger, Alexander Pritzel, Peter Battaglia

* 2nd AI4Science Workshop at the 39th International Conference on Machine Learning (ICML), 2022 

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Normalizing flows for atomic solids


Nov 16, 2021
Peter Wirnsberger, George Papamakarios, Borja Ibarz, Sébastien Racanière, Andrew J. Ballard, Alexander Pritzel, Charles Blundell

* 12 pages, 8 figures 

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Never Give Up: Learning Directed Exploration Strategies


Feb 14, 2020
Adrià Puigdomènech Badia, Pablo Sprechmann, Alex Vitvitskyi, Daniel Guo, Bilal Piot, Steven Kapturowski, Olivier Tieleman, Martín Arjovsky, Alexander Pritzel, Andew Bolt, Charles Blundell

* Published as a conference paper in ICLR 2020 

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Targeted free energy estimation via learned mappings


Feb 12, 2020
Peter Wirnsberger, Andrew J. Ballard, George Papamakarios, Stuart Abercrombie, Sébastien Racanière, Alexander Pritzel, Danilo Jimenez Rezende, Charles Blundell

* 10 pages, 5 figures 

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Fast deep reinforcement learning using online adjustments from the past


Oct 18, 2018
Steven Hansen, Pablo Sprechmann, Alexander Pritzel, André Barreto, Charles Blundell

* Accepted at NIPS 2018 

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Generative Temporal Models with Spatial Memory for Partially Observed Environments


Jul 19, 2018
Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola

* ICML 2018 

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Meta-Learning by the Baldwin Effect


Jun 22, 2018
Chrisantha Thomas Fernando, Jakub Sygnowski, Simon Osindero, Jane Wang, Tom Schaul, Denis Teplyashin, Pablo Sprechmann, Alexander Pritzel, Andrei A. Rusu


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DARLA: Improving Zero-Shot Transfer in Reinforcement Learning


Jun 06, 2018
Irina Higgins, Arka Pal, Andrei A. Rusu, Loic Matthey, Christopher P Burgess, Alexander Pritzel, Matthew Botvinick, Charles Blundell, Alexander Lerchner

* ICML 2017 

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Memory-based Parameter Adaptation


Feb 28, 2018
Pablo Sprechmann, Siddhant M. Jayakumar, Jack W. Rae, Alexander Pritzel, Adrià Puigdomènech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell

* Published as a conference paper at ICLR 2018 

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Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles


Nov 04, 2017
Balaji Lakshminarayanan, Alexander Pritzel, Charles Blundell

* NIPS 2017 

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