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Interpreting Spatially Infinite Generative Models


Jul 24, 2020
Chaochao Lu, Richard E. Turner, Yingzhen Li, Nate Kushman

* ICML 2020 workshop on Human Interpretability in Machine Learning (WHI 2020) 

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Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data


Feb 28, 2020
Sebastian Lunz, Yingzhen Li, Andrew Fitzgibbon, Nate Kushman

* 8 pages paper, 3 pages references, 18 pages appendix 

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Learning Robust Representations via Multi-View Information Bottleneck


Feb 18, 2020
Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata


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Constructing Unrestricted Adversarial Examples with Generative Models


Sep 20, 2018
Yang Song, Rui Shu, Nate Kushman, Stefano Ermon

* NIPS 2018 

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Inverting Supervised Representations with Autoregressive Neural Density Models


Jun 01, 2018
Charlie Nash, Nate Kushman, Christopher K. I. Williams


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PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples


May 21, 2018
Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman

* ICLR 2018 

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A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games


Aug 17, 2017
Felix Leibfried, Nate Kushman, Katja Hofmann

* Presented at the ICML 2017 Workshop on Principled Approaches to Deep Learning, Sydney, Australia, 2017 

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Differentiable Programs with Neural Libraries


Mar 02, 2017
Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow


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Summary - TerpreT: A Probabilistic Programming Language for Program Induction


Dec 02, 2016
Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow

* 7 pages, 2 figures, 4 tables in 1st Workshop on Neural Abstract Machines & Program Induction (NAMPI), @NIPS 2016 

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TerpreT: A Probabilistic Programming Language for Program Induction


Aug 15, 2016
Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow

* 50 pages, 20 figures, 4 tables 

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Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge


Aug 09, 2016
Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay

* to be published in EMNLP 2016 

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