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L. Matthey · SciRah

Researcher profile · Semantic Scholar

L. Matthey

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L. Matthey — researcher profile on SciRah

h-index: 23
Works: 35
Citations: 16K

Most-cited papers

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
I. Higgins, L. Matthey, Arka Pal, Christopher P. Burgess +4 more
2016International Conference on Learning Representations6,293 citations
Semantic Scholar
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Gheorghe Comanici, E. Bieber, Mike Schaekermann, Ice Pasupat +496 more
2025arXiv.org4,448 citations
Semantic Scholar
Understanding disentangling in β-VAE
Christopher P. Burgess, I. Higgins, Arka Pal, L. Matthey +3 more
2018arXiv.org997 citations
Semantic Scholar
MONet: Unsupervised Scene Decomposition and Representation
Christopher P. Burgess, L. Matthey, Nicholas Watters, Rishabh Kabra +3 more
2019arXiv.org637 citations
Semantic Scholar
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff, Raphael Lopez Kaufman, Rishabh Kabra, Nicholas Watters +5 more
2019International Conference on Machine Learning604 citations
Semantic Scholar
Towards a Definition of Disentangled Representations
I. Higgins, David Amos, David Pfau, S. Racanière +3 more
2018arXiv.org564 citations
Semantic Scholar
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
I. Higgins, Arka Pal, Andrei A. Rusu, L. Matthey +5 more
2017International Conference on Machine Learning452 citations
Semantic Scholar
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
Nicholas Watters, L. Matthey, Christopher P. Burgess, Alexander Lerchner
2019arXiv.org192 citations
Semantic Scholar
Early Visual Concept Learning with Unsupervised Deep Learning
I. Higgins, L. Matthey, X. Glorot, Arka Pal +4 more
2016arXiv.org185 citations
Semantic Scholar
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
A. Achille, Tom Eccles, L. Matthey, Christopher P. Burgess +3 more
2018Neural Information Processing Systems142 citations
Semantic Scholar
SCAN: Learning Hierarchical Compositional Visual Concepts
I. Higgins, Nicolas Sonnerat, L. Matthey, Arka Pal +6 more
2017International Conference on Learning Representations136 citations
Semantic Scholar
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
Nicholas Watters, L. Matthey, Matko Bosnjak, Christopher P. Burgess +1 more
2019arXiv.org133 citations
Semantic Scholar
SODA: Bottleneck Diffusion Models for Representation Learning
Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew Kyle Lampinen +5 more
2023Computer Vision and Pattern Recognition102 citations Open access
Semantic Scholar
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
Rishabh Kabra, Daniel Zoran, Goker Erdogan, L. Matthey +4 more
2021Neural Information Processing Systems91 citations
Semantic Scholar
Scaling Instructable Agents Across Many Simulated Worlds
S1-NexusAgent Team, M. Raad, Arun Ahuja, Catarina Barros +90 more
2024arXiv.org90 citations
Semantic Scholar
Unsupervised Model Selection for Variational Disentangled Representation Learning
Sunny Duan, L. Matthey, Andre Saraiva, Nicholas Watters +3 more
2019International Conference on Learning Representations90 citations
Semantic Scholar
Stochastic strategies for a swarm robotic assembly system
L. Matthey, S. Berman, Vijay R. Kumar
2009IEEE International Conference on Robotics and Automation87 citations Open access
Semantic Scholar
A comparison of casting and spiraling algorithms for odor source localization in laminar flow
Thomas Lochmatter, Xavier Raemy, L. Matthey, Saurabh Indra +1 more
2008IEEE International Conference on Robotics and Automation74 citations Open access
Semantic Scholar
A Probabilistic Palimpsest Model of Visual Short-term Memory
L. Matthey, P. Bays, P. Dayan
2015PLoS Comput. Biol.62 citations Open access
Semantic Scholar
SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
I. Higgins, Nicolas Sonnerat, L. Matthey, Arka Pal +4 more
2017arXiv.org53 citations
Semantic Scholar
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents
Jane X. Wang, Michael King, Nicolas Porcel, Z. Kurth-Nelson +13 more
2021NeurIPS Datasets and Benchmarks45 citations
Semantic Scholar
Experimental study of limit cycle and chaotic controllers for the locomotion of centipede robots
L. Matthey, L. Righetti, A. Ijspeert
20082008 IEEE/RSJ International Conference on Intelligent Robots and Systems30 citations Open access
Semantic Scholar
Alchemy: A structured task distribution for meta-reinforcement learning
Jane X. Wang, Michael King, Nicolas Porcel, Z. Kurth-Nelson +13 more
2021arXiv.org28 citations
Semantic Scholar
Aggregation-mediated collective perception and action in a group of miniature robots
Grégory Mermoud, L. Matthey, W. Evans, A. Martinoli
2010Adaptive Agents and Multi-Agent Systems19 citations
Semantic Scholar
Combining Behaviors with the Successor Features Keyboard
Wilka Carvalho, Andre Saraiva, Angelos Filos, Andrew Kyle Lampinen +6 more
2023Neural Information Processing Systems14 citations
Semantic Scholar
AlignNet: Unsupervised Entity Alignment
A. Creswell, Kyriacos Nikiforou, O. Vinyals, Andre Saraiva +7 more
2020arXiv.org14 citations
Semantic Scholar
Leveraging VLM-Based Pipelines to Annotate 3D Objects
Rishabh Kabra, L. Matthey, Alexander Lerchner, N. Mitra
2023International Conference on Machine Learning12 citations
Semantic Scholar
Constellation: Learning relational abstractions over objects for compositional imagination
James C. R. Whittington, Rishabh Kabra, L. Matthey, Christopher P. Burgess +1 more
2021arXiv.org6 citations
Semantic Scholar
Self-Organized Robotic Systems: Large-Scale Experiments in Aggregation and Self-Assembly using Miniature Robots
Grégory Mermoud, Amanda Prorok, L. Matthey, Christopher M. Cianci +2 more
20134 citations
Semantic Scholar
Shock wave attenuation in aqueous foam
L. Domergue, R. Nicolas, J. Marle, L. Matthey +3 more
20094 citations Open access
Semantic Scholar
Evaluating VLMs for Score-Based, Multi-Probe Annotation of 3D Objects
Rishabh Kabra, L. Matthey, Alexander Lerchner, Niloy J. Mitra
2023arXiv.org3 citations
Semantic Scholar
β-VAE : L EARNING B ASIC
L. Matthey
20170 citations
Semantic Scholar
beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
I. Higgins, L. Matthey, Arka Pal, Christopher P. Burgess +4 more
2017International Conference on Learning Representations0 citations
Semantic Scholar
Code release for submission
L. Matthey
20140 citations
Semantic Scholar
Crise de la protection sociale au Japon
K. Jenni, S. M. D. Dos Santos, L. Matthey, J. Ruffin
20070 citations
Semantic Scholar

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