Christopher P. Burgess

17 papers A* 4Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Linking vision and motion for self-supervised object-centric perception. CoRR Kaylene C. Stocking, Zak Murez, Vijay Badrinarayanan, Jamie Shotton, Alex Kendall, Claire J. Tomlin, Christopher P. Burgess
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
2021	A*	`conf`	Unsupervised Object-Based Transition Models For 3D Partially Observable Environments. NeurIPS Antonia Creswell, Rishabh Kabra, Christopher P. Burgess, Murray Shanahan
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	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`	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	—	`conf`	Minimally Redundant Laplacian Eigenmaps. ICLR (Workshop) David Pfau, Christopher P. Burgess
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
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