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
Jaeho ShinEvidently, Inc.Preverjeni e-poštni naslov na cs.stanford.edu
Manas JoglekarOpenAIPreverjeni e-poštni naslov na openai.com
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	4961	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	2828*	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	1913	2022
Efficiently modeling long sequences with structured state spaces A Gu, K Goel, C Ré arXiv preprint arXiv:2111.00396, 2021	1855	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	1464	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	1246	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	1066	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	885	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	873*	2017
Hyperbolic graph convolutional neural networks I Chami, Z Ying, C Ré, J Leskovec Advances in neural information processing systems 32, 2019	804	2019
Probabilistic databases D Suciu, D Olteanu, C Ré, C Koch Springer Nature, 2022	675	2022
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	585	2021
Holoclean: Holistic data repairs with probabilistic inference T Rekatsinas, X Chu, IF Ilyas, C Ré arXiv preprint arXiv:1702.00820, 2017	578	2017
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	552	2020
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	546	2012
Representation tradeoffs for hyperbolic embeddings F Sala, C De Sa, A Gu, C Ré International conference on machine learning, 4460-4469, 2018	521	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	490	2006
Hungry hungry hippos: Towards language modeling with state space models DY Fu, T Dao, KK Saab, AW Thomas, A Rudra, C Ré arXiv preprint arXiv:2212.14052, 2022	486	2022
Low-dimensional hyperbolic knowledge graph embeddings I Chami, A Wolf, DC Juan, F Sala, S Ravi, C Ré arXiv preprint arXiv:2005.00545, 2020	484	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	454	2014

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