Nate Kushman
Nate Kushman
Research Scientist, DeepMind
Verified email at - Homepage
Cited by
Cited by
Pixeldefend: Leveraging generative models to understand and defend against adversarial examples
Y Song, T Kim, S Nowozin, S Ermon, N Kushman
arXiv preprint arXiv:1710.10766, 2017
Learning to Automatically Solve Algebra Word Problems
N Kushman, Y Artzi, L Zettlemoyer, R Barzilay
R-BGP: Staying connected in a connected world
N Kushman, S Kandula, D Katabi, BM Maggs
Carnegie Mellon University, 2007
Learning to solve arithmetic word problems with verb categorization
MJ Hosseini, H Hajishirzi, O Etzioni, N Kushman
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
Learning to share: narrowband-friendly wideband networks
H Rahul, N Kushman, D Katabi, C Sodini, F Edalat
ACM SIGCOMM Computer Communication Review 38 (4), 147-158, 2008
Constructing unrestricted adversarial examples with generative models
Y Song, R Shu, N Kushman, S Ermon
arXiv preprint arXiv:1805.07894, 2018
ZipTx: Harnessing partial packets in 802.11 networks
KCJ Lin, N Kushman, D Katabi
Proceedings of the 14th ACM international conference on Mobile computing and …, 2008
Can you hear me now?! it must be BGP
N Kushman, S Kandula, D Katabi
ACM SIGCOMM Computer Communication Review 37 (2), 75-84, 2007
Using semantic unification to generate regular expressions from natural language
N Kushman, R Barzilay
Proceedings of the 2013 Conference of the North American Chapter of the …, 2013
Terpret: A probabilistic programming language for program induction
AL Gaunt, M Brockschmidt, R Singh, N Kushman, P Kohli, J Taylor, ...
arXiv preprint arXiv:1608.04428, 2016
Learning high-level planning from text
SRK Branavan, N Kushman, T Lei, R Barzilay
The Association for Computational Linguistics, 2012
MAWPS: A math word problem repository
R Koncel-Kedziorski, S Roy, A Amini, N Kushman, H Hajishirzi
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
Neural generation of regular expressions from natural language with minimal domain knowledge
N Locascio, K Narasimhan, E DeLeon, N Kushman, R Barzilay
arXiv preprint arXiv:1608.03000, 2016
Differentiable programs with neural libraries
AL Gaunt, M Brockschmidt, N Kushman, D Tarlow
International Conference on Machine Learning, 1213-1222, 2017
A deep learning approach for joint video frame and reward prediction in atari games
F Leibfried, N Kushman, K Hofmann
arXiv preprint arXiv:1611.07078, 2016
Learning robust representations via multi-view information bottleneck
M Federici, A Dutta, P Forré, N Kushman, Z Akata
arXiv preprint arXiv:2002.07017, 2020
Neural program lattices
C Li, D Tarlow, AL Gaunt, M Brockschmidt, N Kushman
Enabling Configuration-Independent Automation by Non-Expert Users.
N Kushman, D Katabi
OSDI, 223-236, 2010
Method of load balancing edge-enabled applications in a content delivery network (CDN)
AT Davis, N Kushman, JG Parikh, S Pichai, D Stodolsky, A Tarafdar, ...
US Patent 7,660,896, 2010
The mutual autoencoder: Controlling information in latent code representations, 2018
M Phuong, M Welling, N Kushman, R Tomioka, S Nowozin
URL https://openreview. net/forum, 0
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