Loïc Matthey

Publication Activity (10 Years)

Years Active: 2008-2019
Publications (10 Years): 12

Top Topics

Reinforcement Learning

Variational Inference

Intermediate Representations

Top Venues

Publications

Nicholas Watters, Loïc Matthey, Christopher P. Burgess, Alexander Lerchner
Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs. CoRR (2019)
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Christopher Burgess, Daniel Zoran, Loïc Matthey, Matthew Botvinick, Alexander Lerchner
Multi-Object Representation Learning with Iterative Variational Inference. CoRR (2019)
Christopher P. Burgess, Loïc Matthey, Nicholas Watters, Rishabh Kabra, Irina Higgins, Matthew Botvinick, Alexander Lerchner
MONet: Unsupervised Scene Decomposition and Representation. CoRR (2019)
Irina Higgins, David Amos, David Pfau, Sébastien Racanière, Loïc Matthey, Danilo J. Rezende, Alexander Lerchner
Towards a Definition of Disentangled Representations. CoRR (2018)
Christopher P. Burgess, Irina Higgins, Arka Pal, Loïc Matthey, Nick Watters, Guillaume Desjardins, Alexander Lerchner
Understanding disentangling in β-VAE. CoRR (2018)
Alessandro Achille, Tom Eccles, Loïc Matthey, Christopher Burgess, Nicholas Watters, Alexander Lerchner, Irina Higgins
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies. NeurIPS (2018)
Alessandro Achille, Tom Eccles, Loïc Matthey, Christopher P. Burgess, Nick Watters, Alexander Lerchner, Irina Higgins
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies. CoRR (2018)
Irina Higgins, Arka Pal, Andrei A. Rusu, Loïc Matthey, Christopher Burgess, Alexander Pritzel, Matthew Botvinick, Charles Blundell, Alexander Lerchner
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning. CoRR (2017)
Irina Higgins, Loïc Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, Alexander Lerchner
beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework. ICLR (Poster) (2017)
Irina Higgins, Nicolas Sonnerat, Loïc Matthey, Arka Pal, Christopher Burgess, Matthew Botvinick, Demis Hassabis, Alexander Lerchner
SCAN: Learning Abstract Hierarchical Compositional Visual Concepts. CoRR (2017)
Irina Higgins, Arka Pal, Andrei A. Rusu, Loïc Matthey, Christopher Burgess, Alexander Pritzel, Matthew Botvinick, Charles Blundell, Alexander Lerchner
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning. ICML (2017)
Irina Higgins, Loïc Matthey, Xavier Glorot, Arka Pal, Benigno Uria, Charles Blundell, Shakir Mohamed, Alexander Lerchner
Early Visual Concept Learning with Unsupervised Deep Learning. CoRR (2016)
Grégory Mermoud, Loïc Matthey, William C. Evans, Alcherio Martinoli
Aggregation-mediated collective perception and action in a group of miniature robots. AAMAS (2010)
Thomas Lochmatter, Xavier Raemy, Loïc Matthey, Saurabh Indra, Alcherio Martinoli
A comparison of casting and spiraling algorithms for odor source localization in laminar flow. ICRA (2008)