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11/10/2017
Self-Supervised Intrinsic Image Decomposition
Intrinsic decomposition from a single image is a highly challenging task...
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11/06/2016
Learning to Perform Physics Experiments via Deep Reinforcement Learning
When encountering novel objects, humans are able to infer a wide range o...
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06/08/2016
Deep Successor Reinforcement Learning
Learning robust value functions given raw observations and rewards is no...
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04/20/2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Learning goal-directed behavior in environments with sparse feedback is ...
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03/11/2015
Deep Convolutional Inverse Graphics Network
This paper presents the Deep Convolution Inverse Graphics Network (DC-IG...
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07/04/2014
Inverse Graphics with Probabilistic CAD Models
Recently, multiple formulations of vision problems as probabilistic inve...
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02/24/2014
Variational Particle Approximations
Approximate inference in high-dimensional, discrete probabilistic models...
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06/29/2013
