Nate Kushman

Publication Activity (10 Years)

Years Active: 2007-2022
Publications (10 Years): 23

Top Venues

CoRR

EMNLP

HLT-NAACL

ICLR (Poster)

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Jonathan Uesato, Nate Kushman, Ramana Kumar, H. Francis Song, Noah Y. Siegel, Lisa Wang, Antonia Creswell, Geoffrey Irving, Irina Higgins
Solving math word problems with process- and outcome-based feedback. CoRR (2022)
Yujia Li, David H. Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, Thomas Hubert, Peter Choy, Cyprien de Masson d'Autume, Igor Babuschkin, Xinyun Chen, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J. Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, Oriol Vinyals
Competition-Level Code Generation with AlphaCode. CoRR (2022)
Sebastian Lunz, Yingzhen Li, Andrew W. Fitzgibbon, Nate Kushman
Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data. CoRR (2020)
Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata
Learning Robust Representations via Multi-View Information Bottleneck. ICLR (2020)
Chaochao Lu, Richard E. Turner, Yingzhen Li, Nate Kushman
Interpreting Spatially Infinite Generative Models. CoRR (2020)
Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata
Learning Robust Representations via Multi-View Information Bottleneck. CoRR (2020)
Charlie Nash, Nate Kushman, Christopher K. I. Williams
Inverting Supervised Representations with Autoregressive Neural Density Models. AISTATS (2019)
Arianna Yuan, Will Monroe, Yu Bai, Nate Kushman
Understanding the Rational Speech Act model. CogSci (2018)
Charlie Nash, Nate Kushman, Christopher K. I. Williams
Inverting Supervised Representations with Autoregressive Neural Density Models. CoRR (2018)
Yang Song, Rui Shu, Nate Kushman, Stefano Ermon
Generative Adversarial Examples. CoRR (2018)
Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples. ICLR (Poster) (2018)
Yang Song, Rui Shu, Nate Kushman, Stefano Ermon
Constructing Unrestricted Adversarial Examples with Generative Models. NeurIPS (2018)
Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples. CoRR (2017)
Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow
Lifelong Perceptual Programming By Example. ICLR (Workshop) (2017)
Chengtao Li, Daniel Tarlow, Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman
Neural Program Lattices. ICLR (Poster) (2017)
Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow
Differentiable Programs with Neural Libraries. ICML (2017)
Felix Leibfried, Nate Kushman, Katja Hofmann
A Deep Learning Approach for Joint Video Frame and Reward Prediction in Atari Games. CoRR (2016)
Alexander L. Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow
Lifelong Perceptual Programming By Example. CoRR (2016)
Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow
TerpreT: A Probabilistic Programming Language for Program Induction. CoRR (2016)
Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman, Hannaneh Hajishirzi
MAWPS: A Math Word Problem Repository. HLT-NAACL (2016)
Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. CoRR (2016)
Nicholas Locascio, Karthik Narasimhan, Eduardo DeLeon, Nate Kushman, Regina Barzilay
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. EMNLP (2016)
Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Jonathan Taylor, Daniel Tarlow
Summary - TerpreT: A Probabilistic Programming Language for Program Induction. CoRR (2016)
Mohammad Javad Hosseini, Hannaneh Hajishirzi, Oren Etzioni, Nate Kushman
Learning to Solve Arithmetic Word Problems with Verb Categorization. EMNLP (2014)
Nate Kushman, Luke Zettlemoyer, Regina Barzilay, Yoav Artzi
Learning to Automatically Solve Algebra Word Problems. ACL (1) (2014)
Nate Kushman, Regina Barzilay
Using Semantic Unification to Generate Regular Expressions from Natural Language. HLT-NAACL (2013)
S. R. K. Branavan, Nate Kushman, Tao Lei, Regina Barzilay
Learning High-Level Planning from Text. ACL (1) (2012)
Nate Kushman, Dina Katabi
Enabling Configuration-Independent Automation by Non-Expert Users. OSDI (2010)
Nate Kushman, Micah Z. Brodsky, S. R. K. Branavan, Dina Katabi, Regina Barzilay, Martin C. Rinard
WikiDo. HotNets (2009)
Kate Ching-Ju Lin, Nate Kushman, Dina Katabi
ZipTx: exploiting the gap between bit errors and packet loss. MobiCom (2008)
Hariharan Rahul, Nate Kushman, Dina Katabi, Charles G. Sodini, Farinaz Edalat
Learning to share: narrowband-friendly wideband networks. SIGCOMM (2008)
Nate Kushman, Srikanth Kandula, Dina Katabi, Bruce M. Maggs
R-BGP: Staying Connected in a Connected World. NSDI (2007)
Nate Kushman, Srikanth Kandula, Dina Katabi
Can you hear me now?!: it must be BGP. Comput. Commun. Rev. 37 (2) (2007)

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Publication Activity (10 Years)

Top Topics

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Nate Kushman