Christopher Burgess

Publication Activity (10 Years)

Years Active: 2009-2021
Publications (10 Years): 10

Top Topics

Automatic Model Selection

Partially Observable Environments

Unsupervised Methods

Top Venues

Publications

Antonia Creswell, Rishabh Kabra, Christopher Burgess, Murray Shanahan
Unsupervised Object-Based Transition Models for 3D Partially Observable Environments. CoRR (2021)
Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Christopher Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan
AlignNet: Unsupervised Entity Alignment. CoRR (2020)
Sunny Duan, Loic Matthey, Andre Saraiva, Nick Watters, Christopher Burgess, Alexander Lerchner, Irina Higgins
Unsupervised Model Selection for Variational Disentangled Representation Learning. ICLR (2020)
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Christopher Burgess, Daniel Zoran, Loic Matthey, Matthew Botvinick, Alexander Lerchner
Multi-Object Representation Learning with Iterative Variational Inference. ICML (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)
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)
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)
Christopher Burgess, Aneesh Krishna
A Process-Oriented Approach for the Optimal Satisficing of Non-Functional Requirements. ICSP (2009)
Christopher Burgess, Aneesh Krishna, Li Jiang
Towards Optimising Non-functional Requirements. QSIC (2009)