Christopher Ré

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Ce ZhangTogether AI; University of ChicagoPreverjeni e-poštni naslov na together.xyz
Atri RudraKatherine Johnson Chair in AI, Professor, CSE, University at BuffaloPreverjeni e-poštni naslov na buffalo.edu
Sen WuComputer Science, Stanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu
Feng NiuUniversity of Wisconsin-MadisonPreverjeni e-poštni naslov na cs.wisc.edu
Kunle OlukotunCadence Design Systems Professor of Computer Science, Stanford UniversityPreverjeni e-poštni naslov na stanford.edu
Benjamin RechtProfessor of EECS, University of California, BerkeleyPreverjeni e-poštni naslov na eecs.berkeley.edu
Michael CafarellaPrincipal Research Scientist, MIT CSAILPreverjeni e-poštni naslov na umich.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinPreverjeni e-poštni naslov na cs.wisc.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinPreverjeni e-poštni naslov na cs.wisc.edu
Arun KumarUniversity of California, San DiegoPreverjeni e-poštni naslov na eng.ucsd.edu
Manas JoglekarOpenAIPreverjeni e-poštni naslov na openai.com
Jaeho ShinEvidently, Inc.Preverjeni e-poštni naslov na cs.stanford.edu
Victor BittorfFacebookPreverjeni e-poštni naslov na fb.com
Ioannis (Yannis) MitliagkasAssociate Professor at Mila, University of MontréalPreverjeni e-poštni naslov na iro.umontreal.ca
Magdalena BalazinskaUniversity of WashingtonPreverjeni e-poštni naslov na cs.washington.edu
Dolan AntenucciUniversity of MichiganPreverjeni e-poštni naslov na umich.edu
Joseph HellersteinJim Gray Professor of the Graduate School, UC BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Srikrishna SridharApplePreverjeni e-poštni naslov na tetra.ai
Ji LiuMetaPreverjeni e-poštni naslov na meta.com
Xixuan (Aaron) Feng 冯熙铉Software Engineer and Researcher at Megagon Labs

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Christopher Ré

Computer Science, Stanford University

Preverjeni e-poštni naslov na cs.stanford.edu - Domača stran

machine learning artificial intelligence machine learning systems data management AI systems


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021	4694	2021
Hogwild: A lock-free approach to parallelizing stochastic gradient descent F Niu, B Recht, C Ré, S Wright Advances in Neural Information Processing Systems, 693-701, 2011	2826*	2011
Flashattention: Fast and memory-efficient exact attention with io-awareness T Dao, D Fu, S Ermon, A Rudra, C Ré Advances in Neural Information Processing Systems 35, 16344-16359, 2022	1663	2022
Efficiently modeling long sequences with structured state spaces A Gu, K Goel, C Ré arXiv preprint arXiv:2111.00396, 2021	1578	2021
Snorkel: Rapid training data creation with weak supervision A Ratner, SH Bach, H Ehrenberg, J Fries, S Wu, C Ré Proceedings of the VLDB endowment. International conference on very large …, 2017	1447	2017
Holistic evaluation of language models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... arXiv preprint arXiv:2211.09110, 2022	1162	2022
Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features KH Yu, C Zhang, GJ Berry, RB Altman, C Ré, DL Rubin, M Snyder Nature communications 7 (1), 12474, 2016	1046	2016
Data programming: Creating large training sets, quickly AJ Ratner, CM De Sa, S Wu, D Selsam, C Ré Advances in neural information processing systems 29, 2016	890	2016
Incremental knowledge base construction using DeepDive C De Sa, A Ratner, C Ré, J Shin, F Wang, S Wu, C Zhang The VLDB Journal 26, 81-105, 2017	872*	2017
Hyperbolic graph convolutional neural networks I Chami, Z Ying, C Ré, J Leskovec Advances in neural information processing systems 32, 2019	766	2019
Probabilistic databases D Suciu, D Olteanu, C Ré, C Koch Springer Nature, 2022	681	2022
Holoclean: Holistic data repairs with probabilistic inference T Rekatsinas, X Chu, IF Ilyas, C Ré arXiv preprint arXiv:1702.00820, 2017	570	2017
The MADlib analytics library or MAD skills, the SQL J Hellerstein, C Ré, F Schoppmann, DZ Wang, E Fratkin, A Gorajek, ... arXiv preprint arXiv:1208.4165, 2012	549	2012
Combining recurrent, convolutional, and continuous-time models with linear state space layers A Gu, I Johnson, K Goel, K Saab, T Dao, A Rudra, C Ré Advances in neural information processing systems 34, 572-585, 2021	516	2021
Representation tradeoffs for hyperbolic embeddings F Sala, C De Sa, A Gu, C Ré International conference on machine learning, 4460-4469, 2018	503	2018
Efficient top-k query evaluation on probabilistic data C Re, N Dalvi, D Suciu 2007 IEEE 23rd International Conference on Data Engineering, 886-895, 2006	491	2006
Low-dimensional hyperbolic knowledge graph embeddings I Chami, A Wolf, DC Juan, F Sala, S Ravi, C Ré arXiv preprint arXiv:2005.00545, 2020	473	2020
Hippo: Recurrent memory with optimal polynomial projections A Gu, T Dao, S Ermon, A Rudra, C Ré Advances in neural information processing systems 33, 1474-1487, 2020	469	2020
An asynchronous parallel stochastic coordinate descent algorithm J Liu, S Wright, C Ré, V Bittorf, S Sridhar International Conference on Machine Learning, 469-477, 2014	452	2014
Worst-case optimal join algorithms HQ Ngo, E Porat, C Ré, A Rudra Journal of the ACM (JACM) 65 (3), 1-40, 2018	436	2018

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