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Publications

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Measuring CLEVRness: Black-box Testing of Visual Reasoning Models
Spyridon Mouselinos *, Henryk Michalewski *, Mateusz Malinowski
ICLR
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Temporally Abstract Partial Models
Khimya Khetarpal *, Zafarali Ahmed, Gheorghe Comanici, Doina Precup
NeurIPS
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PARTS: Unsupervised segmentation with slots, attention and independence maximization
Daniel Zoran, Rishabh Kabra, Alexander Lerchner, Danilo Jimenez Rezende
ICCV
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Generative Art Using Neural Visual Grammars and Dual Encoders
Ali Eslami, Dylan Banarse, Simon Osindero, Chrisantha Fernando, Jean-baptiste Alayrac, Piotr Mirowski
arXiv
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Persistent Message Passing
Heiko Strathmann, Amin Barekatain, Charles Blundell, Petar Veličković
arXiv
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Evaluating the Apperception Engine
Richard Evans, J Hernández-Orallo *, Johannes Welbl *, Pushmeet Kohli, Marek Sergot *
arXiv
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Probing Emergent Semantics in Predictive Agents via Question Answering
A Das *, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Gregory Wayne, Felix Hill
ICML
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Learning to cooperate: Emergent communication in multi-agent navigation
Ivana Kajić *, E Aygün *, Doina Precup
arXiv
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Product Kanerva Machines: Factorized Bayesian Memory
Adam Marblestone, Yan Wu, Gregory Wayne
arXiv
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CLEVRER: CoLlision Events for Video REpresentation and Reasoning
Kexin Yi *, Chuang Gan *, Yuanzhi Li *, Pushmeet Kohli, Jiajun Wu *, Antonio Torralba *, J Tenenbaum *
arXiv
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Emergent Systematic Generalization in a Situated Agent
Felix Hill, A K Lampinen *, Rosalia Schneider, Stephen Clark, Matt Botvinick, JL McClelland *, Adam Santoro
arXiv
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Unsupervised Learning of Object Keypoints for Perception and Control
Tejas Kulkarni, Ankush Gupta, Catalin Ionescu, Sebastian Borgeaud, Malcolm Reynolds, Andrew Zisserman, Vlad Mnih
arXiv
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Interval Timing in Deep Reinforcement Learning Agents
Ben Deverett, Ryan Faulkner, Meire Fortunato, Gregory Wayne, Joel Z. Leibo
arXiv
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A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning
Sunny Duan, Nick Watters, Loic Matthey, Christopher Burgess, Alexander Lerchner, Irina Higgins
arXiv
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An Explicitly Relational Neural Network Architecture
Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David Barrett, Marta Garnelo
ICML
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COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
Nick Watters, Loic Matthey, Matko Bošnjak, Christopher Burgess, Alexander Lerchner
ICML
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Structured agents for physical construction
Victor Bapst, Alvaro Sanchez-Gonzalez, Carl Doersch, Kimberly Stachenfeld, Pushmeet Kohli, Peter Battaglia, Jess Hamrick
arXiv
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Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff *, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Chris Burgess, Daniel Zoran, Loic Matthey, Matt Botvinick, Alexander Lerchner
ICML
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The Termination Critic
Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Rémi Munos, Doina Precup
arXiv
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Learning to Make Analogies by Contrasting Abstract Relational Structure
Felix Hill, Adam Santoro, David G. T. Barrett *, Ari Morcos, Timothy Lillicrap
arXiv
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MONet: Unsupervised Scene Decomposition and Representation
Chris Burgess, Loic Matthey, Nick Watters, Rishabh Kabra, Irina Higgins, Matt Botvinick, Alexander Lerchner
arXiv
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Hierarchical Representations with Poincaré Variational Auto-Encoders
Emile Mathieu *, Charline Le Lan *, C J Bates *, Ryota Tomioka *, Yee Whye Teh
arXiv
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Generating Diverse Programs with Instruction Conditioned Reinforced Adversarial Learning
Aishwarya Agrawal *, Mateusz Malinowski, Felix Hill, S M Ali Eslami, Oriol Vinyals, Tejas Kulkarni
NIPS LBI Workshop
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Contingency-Aware Exploration in Reinforcement Learning
Jongwook Choi *, Yijie Guo *, Marcin Moczulski *, Junhyuk Oh, Neal Wu *, Mohammad Norouzi *, Honglak Lee *
arXiv
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Relational Forward Models for Multi-Agent Learning
Andrea Tacchetti, H F Song *, P A M Mediano *, Vinicius Zambaldi, Neil Rabinowitz, Thore Graepel, Matt Botvinick, P W Battaglia *
arXiv
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