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Nicholas Watters

2 accepted papers

2018

Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies

NeurIPS 2018spotlight

Intelligent behaviour in the real-world requires the ability to acquire new knowledge from an ongoing sequence of experiences while preserving and reusing past knowledge. We propose a novel algorithm for unsupervised representation learning from piece-wise stationary visual data: Variational Autoenc…

2017

Visual Interaction Networks: Learning a Physics Simulator from Video

NeurIPS 2017poster

From just a glance, humans can make rich predictions about the future of a wide range of physical systems. On the other hand, modern approaches from engineering, robotics, and graphics are often restricted to narrow domains or require information about the underlying state. We introduce the Visual…

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