Nate Kushman
Nate Kushman
Research Scientist, DeepMind
Verified email at - Homepage
Cited by
Cited by
Competition-level code generation with alphacode
Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ...
Science 378 (6624), 1092-1097, 2022
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
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
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
Constructing unrestricted adversarial examples with generative models
Y Song, R Shu, N Kushman, S Ermon
Advances in neural information processing systems 31, 2018
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
Learning robust representations via multi-view information bottleneck
M Federici, A Dutta, P Forré, N Kushman, Z Akata
arXiv preprint arXiv:2002.07017, 2020
R-BGP: Staying connected in a connected world
N Kushman, S Kandula, D Katabi, BM Maggs
Carnegie Mellon University, 2007
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
Using semantic unification to generate regular expressions from natural language
N Kushman, R Barzilay
North American Chapter of the Association for Computational Linguistics (NAACL), 2013
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
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
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
Solving math word problems with process-and outcome-based feedback
J Uesato, N Kushman, R Kumar, F Song, N Siegel, L Wang, A Creswell, ...
arXiv preprint arXiv:2211.14275, 2022
Learning high-level planning from text
SRK Branavan, N Kushman, T Lei, R Barzilay
The Association for Computational Linguistics, 2012
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
Inverse graphics gan: Learning to generate 3d shapes from unstructured 2d data
S Lunz, Y Li, A Fitzgibbon, N Kushman
arXiv preprint arXiv:2002.12674, 2020
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