Loic Matthey

21 papers A* 7A 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2024 A* conf
Leveraging VLM-Based Pipelines to Annotate 3D Objects.
ICML
Rishabh Kabra, Loic Matthey, Alexander Lerchner, Niloy J. Mitra
2024 A* conf
SODA: Bottleneck Diffusion Models for Representation Learning.
CVPR
Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner
2024 J jnl
Scaling Instructable Agents Across Many Simulated Worlds.
CoRR
SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzalez, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, Jony Hudson, Steph Hughes-Fitt, Danilo J. Rezende, Mimi Jasarevic, Laura Kampis, Nan Rosemary Ke, Thomas Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Loic Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzic, Anna Mitenkova, Alexandre Moufarek, Valéria Oliveira, Yanko Gitahy Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David P. Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, Nick Young
2023 A* conf
Combining Behaviors with the Successor Features Keyboard.
NeurIPS
Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew K. Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo Jimenez Rezende, Daniel Zoran
2023 J jnl
Combining Behaviors with the Successor Features Keyboard.
CoRR
Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen, Loic Matthey, Richard L. Lewis, Honglak Lee, Satinder Singh, Danilo J. Rezende, Daniel Zoran
2023 J jnl
Evaluating VLMs for Score-Based, Multi-Probe Annotation of 3D Objects.
CoRR
Rishabh Kabra, Loic Matthey, Alexander Lerchner, Niloy J. Mitra
2023 J jnl
SODA: Bottleneck Diffusion Models for Representation Learning.
CoRR
Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner
2021 — conf
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents.
NeurIPS Datasets and Benchmarks
Jane Wang, Michael King, Nicolas Porcel, Zeb Kurth-Nelson, Tina Zhu, Charles Deck, Peter Choy, Mary Cassin, Malcolm Reynolds, H. Francis Song, Gavin Buttimore, David P. Reichert, Neil C. Rabinowitz, Loic Matthey, Demis Hassabis, Alexander Lerchner, Matt M. Botvinick
2021 J jnl
Alchemy: A structured task distribution for meta-reinforcement learning.
CoRR
Jane X. Wang, Michael King, Nicolas Porcel, Zeb Kurth-Nelson, Tina Zhu, Charlie Deck, Peter Choy, Mary Cassin, Malcolm Reynolds, H. Francis Song, Gavin Buttimore, David P. Reichert, Neil C. Rabinowitz, Loic Matthey, Demis Hassabis, Alexander Lerchner, Matthew M. Botvinick
2021 J jnl
Constellation: Learning relational abstractions over objects for compositional imagination.
CoRR
James C. R. Whittington, Rishabh Kabra, Loic Matthey, Christopher P. Burgess, Alexander Lerchner
2021 A* conf
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition.
NeurIPS
Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matt M. Botvinick, Alexander Lerchner, Christopher P. Burgess
2021 J jnl
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition.
CoRR
Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matthew M. Botvinick, Alexander Lerchner, Christopher P. Burgess
2020 J jnl
AlignNet: Unsupervised Entity Alignment.
CoRR
Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Chris Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan
2020 A* conf
Unsupervised Model Selection for Variational Disentangled Representation Learning.
ICLR
Sunny Duan, Loic Matthey, Andre Saraiva, Nick Watters, Chris Burgess, Alexander Lerchner, Irina Higgins
2019 J jnl
A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning.
CoRR
Sunny Duan, Nicholas Watters, Loic Matthey, Chris Burgess, Alexander Lerchner, Irina Higgins
2019 J jnl
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration.
CoRR
Nicholas Watters, Loic Matthey, Matko Bosnjak, Christopher P. Burgess, Alexander Lerchner
2019 A* conf
Multi-Object Representation Learning with Iterative Variational Inference.
ICML
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Chris Burgess, Daniel Zoran, Loic Matthey, Matthew M. Botvinick, Alexander Lerchner
2018 — conf
SCAN: Learning Hierarchical Compositional Visual Concepts.
ICLR (Poster)
Irina Higgins, Nicolas Sonnerat, Loic Matthey, Arka Pal, Christopher P. Burgess, Matko Bosnjak, Murray Shanahan, Matthew M. Botvinick, Demis Hassabis, Alexander Lerchner
2015 J jnl
A Probabilistic Palimpsest Model of Visual Short-term Memory.
PLoS Comput. Biol.
Loic Matthey, Paul M. Bays, Peter Dayan
2009 A* conf
Stochastic strategies for a swarm robotic assembly system.
ICRA
Loic Matthey, Spring Berman, Vijay Kumar
2008 A conf
Experimental study of limit cycle and chaotic controllers for the locomotion of centipede robots.
IROS
Loic Matthey, Ludovic Righetti, Auke Jan Ijspeert