Loïc Matthey - RankMe

14 papers A* 3A 1Journal 9Unranked 1

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