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A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning

May 29, 2019
Sunny Duan, Nicholas Watters, Loic Matthey, Christopher P. Burgess, Alexander Lerchner, Irina Higgins


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

May 22, 2019
Nicholas Watters, Loic Matthey, Matko Bosnjak, Christopher P. Burgess, Alexander Lerchner


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MONet: Unsupervised Scene Decomposition and Representation

Jan 22, 2019
Christopher P. Burgess, Loic Matthey, Nicholas Watters, Rishabh Kabra, Irina Higgins, Matt Botvinick, Alexander Lerchner


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Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs

Jan 21, 2019
Nicholas Watters, Loic Matthey, Christopher P. Burgess, Alexander Lerchner


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Visual Interaction Networks

Jun 05, 2017
Nicholas Watters, Andrea Tacchetti, Theophane Weber, Razvan Pascanu, Peter Battaglia, Daniel Zoran


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