Chris Burgess

Affiliations:
  • Wayve, London, UK
  • DeepMind, London, UK
  • University College London, Cortical Processing Lab, UK


According to our database1, Chris Burgess authored at least 18 papers between 2017 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Linking vision and motion for self-supervised object-centric perception.
CoRR, 2023

2021
Constellation: Learning relational abstractions over objects for compositional imagination.
CoRR, 2021

SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Object-Based Transition Models For 3D Partially Observable Environments.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
AlignNet: Unsupervised Entity Alignment.
CoRR, 2020

Unsupervised Model Selection for Variational Disentangled Representation Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning.
CoRR, 2019

COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration.
CoRR, 2019

MONet: Unsupervised Scene Decomposition and Representation.
CoRR, 2019

Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs.
CoRR, 2019

Multi-Object Representation Learning with Iterative Variational Inference.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Understanding disentangling in β-VAE.
CoRR, 2018

Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Minimally Redundant Laplacian Eigenmaps.
Proceedings of the 6th International Conference on Learning Representations, 2018

SCAN: Learning Hierarchical Compositional Visual Concepts.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
SCAN: Learning Abstract Hierarchical Compositional Visual Concepts.
CoRR, 2017

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework.
Proceedings of the 5th International Conference on Learning Representations, 2017


  Loading...