Christopher Ré

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Ce ZhangTogether AI; University of ChicagoEmail verificata su together.xyz
Atri RudraKatherine Johnson Chair in AI, Professor, CSE, University at BuffaloEmail verificata su buffalo.edu
Sen WuComputer Science, Stanford UniversityEmail verificata su cs.stanford.edu
Feng NiuUniversity of Wisconsin-MadisonEmail verificata su cs.wisc.edu
Kunle OlukotunCadence Design Systems Professor of Computer Science, Stanford UniversityEmail verificata su stanford.edu
Benjamin RechtProfessor of EECS, University of California, BerkeleyEmail verificata su eecs.berkeley.edu
Michael CafarellaPrincipal Research Scientist, MIT CSAILEmail verificata su umich.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinEmail verificata su cs.wisc.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinEmail verificata su cs.wisc.edu
Arun KumarUniversity of California, San DiegoEmail verificata su eng.ucsd.edu
Jaeho ShinEvidently, Inc.Email verificata su cs.stanford.edu
Manas JoglekarOpenAIEmail verificata su openai.com
Victor BittorfFacebookEmail verificata su fb.com
Ioannis (Yannis) MitliagkasAssociate Professor at Mila, University of MontréalEmail verificata su iro.umontreal.ca
Magdalena BalazinskaUniversity of WashingtonEmail verificata su cs.washington.edu
Dolan AntenucciUniversity of MichiganEmail verificata su umich.edu
Joseph HellersteinJim Gray Professor of the Graduate School, UC BerkeleyEmail verificata su berkeley.edu
Srikrishna SridharAppleEmail verificata su tetra.ai
Ji LiuMetaEmail verificata su 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

Email verificata su cs.stanford.edu - Home page

machine learning machine learning systems data data management


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	3758	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	2782*	2011
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	1369	2017
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	1189	2022
Efficiently modeling long sequences with structured state spaces A Gu, K Goel, C Ré arXiv preprint arXiv:2111.00396, 2021	1032	2021
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	997	2016
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	934	2022
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	854	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	847*	2017
Hyperbolic graph convolutional neural networks I Chami, Z Ying, C Ré, J Leskovec Advances in neural information processing systems 32, 2019	710	2019
Probabilistic databases D Suciu, D Olteanu, C Ré, C Koch Springer Nature, 2022	674	2022
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	540	2012
Holoclean: Holistic data repairs with probabilistic inference T Rekatsinas, X Chu, IF Ilyas, C Ré arXiv preprint arXiv:1702.00820, 2017	535	2017
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	490	2006
Representation tradeoffs for hyperbolic embeddings F Sala, C De Sa, A Gu, C Ré International conference on machine learning, 4460-4469, 2018	466	2018
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	445	2014
Low-dimensional hyperbolic knowledge graph embeddings I Chami, A Wolf, DC Juan, F Sala, S Ravi, C Ré arXiv preprint arXiv:2005.00545, 2020	437	2020
Worst-case optimal join algorithms HQ Ngo, E Porat, C Ré, A Rudra Journal of the ACM (JACM) 65 (3), 1-40, 2018	418	2018
Learning to compose domain-specific transformations for data augmentation AJ Ratner, H Ehrenberg, Z Hussain, J Dunnmon, C Ré Advances in neural information processing systems 30, 2017	409	2017
Parallel stochastic gradient algorithms for large-scale matrix completion B Recht, C Ré Mathematical Programming Computation 5 (2), 201-226, 2013	406	2013

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