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Christopher Ré
Christopher Ré
Computer Science, Stanford University
Verifisert e-postadresse på cs.stanford.edu - Startside
Tittel
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Sitert av
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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
48292021
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
2821*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
18252022
Efficiently modeling long sequences with structured state spaces
A Gu, K Goel, C Ré
arXiv preprint arXiv:2111.00396, 2021
17382021
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
14572017
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
12162022
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
10612016
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
8842016
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
7932019
Probabilistic databases
D Suciu, D Olteanu, C Ré, C Koch
Springer Nature, 2022
6752022
Holoclean: Holistic data repairs with probabilistic inference
T Rekatsinas, X Chu, IF Ilyas, C Ré
arXiv preprint arXiv:1702.00820, 2017
5752017
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
5572021
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
5442012
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
5192020
Representation tradeoffs for hyperbolic embeddings
F Sala, C De Sa, A Gu, C Ré
International conference on machine learning, 4460-4469, 2018
5122018
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
4902006
Low-dimensional hyperbolic knowledge graph embeddings
I Chami, A Wolf, DC Juan, F Sala, S Ravi, C Ré
arXiv preprint arXiv:2005.00545, 2020
4782020
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
4652022
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
4512014
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Artikler 1–20