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Loic Matthey

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SODA: Bottleneck Diffusion Models for Representation Learning

Nov 29, 2023
Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner

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Evaluating VLMs for Score-Based, Multi-Probe Annotation of 3D Objects

Nov 29, 2023
Rishabh Kabra, Loic Matthey, Alexander Lerchner, Niloy J. Mitra

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Combining Behaviors with the Successor Features Keyboard

Oct 24, 2023
Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo J. Rezende, Daniel Zoran

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Constellation: Learning relational abstractions over objects for compositional imagination

Jul 23, 2021
James C. R. Whittington, Rishabh Kabra, Loic Matthey, Christopher P. Burgess, Alexander Lerchner

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SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition

Jun 07, 2021
Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matthew Botvinick, Alexander Lerchner, Christopher P. Burgess

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Alchemy: A structured task distribution for meta-reinforcement learning

Feb 04, 2021
Jane X. Wang, Michael King, Nicolas Porcel, Zeb Kurth-Nelson, Tina Zhu, Charlie Deck, Peter Choy, Mary Cassin, Malcolm Reynolds, Francis Song, Gavin Buttimore, David P. Reichert, Neil Rabinowitz, Loic Matthey, Demis Hassabis, Alexander Lerchner, Matthew Botvinick

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AlignNet: Unsupervised Entity Alignment

Jul 21, 2020
Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Chris Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan

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A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning

May 29, 2019
Sunny Duan, Nicholas Watters, Loic Matthey, Christopher P. Burgess, Alexander Lerchner, Irina Higgins

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COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration

May 22, 2019
Nicholas Watters, Loic Matthey, Matko Bosnjak, Christopher P. Burgess, Alexander Lerchner

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