Christopher Ré
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Christopher Ré is a person.
References
- Google Scholar Author Page: http://scholar.google.com/citations?user=DnnCWN0AAAAJ
- Professional Home Page: https://cs.stanford.edu/~chrismre/
2023
- Professional Home Page: https://cs.stanford.edu/~chrismre/
- QUOTE: I'm an associate professor in the Stanford AI Lab (SAIL), the center for research on foundation models (CRFM), and the Machine Learning Group (bio). Our lab works on the foundations of the next generation of machine-learned systems.
- On the machine learning side, I am fascinated by how we can learn from increasingly weak forms of supervision and by the mathematical foundations of such techniques.
- On the systems side, I am broadly interested in how machine learning is changing how we build software and hardware. I'm particularly excited when we can blend ML and systems,
- QUOTE: I'm an associate professor in the Stanford AI Lab (SAIL), the center for research on foundation models (CRFM), and the Machine Learning Group (bio). Our lab works on the foundations of the next generation of machine-learned systems.
2023
- (Guha et al., 2023) ⇒ Neel Guha, Julian Nyarko, Daniel E Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, and Daniel N Rockmore. (2023). “LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.” In: arXiv preprint arXiv:2308.11462. doi:10.48550/arXiv.2308.11462
- (Spector & Ré, 2023) ⇒ Benjamin Spector, and Christopher Ré. (2023). “Accelerating LLM Inference with Staged Speculative Decoding.” In: arXiv preprint arXiv:2308.04623. doi:10.48550/arXiv.2308.04623
2021
- (Gu et al., 2021) ⇒ Albert Gu, Karan Goel, and Christopher Ré. (2021). “Efficiently Modeling Long Sequences with Structured State Spaces.” In: arXiv preprint arXiv:2111.00396.
- (Bommasani et al., 2021) ⇒ Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W Thomas, Florian Tramèr, Rose E Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, and Percy Liang. (2021). “On the Opportunities and Risks of Foundation Models.” arXiv preprint arXiv:2108.07258
2015
- (Shin et al., 2015) ⇒ Jaeho Shin, Sen Wu, Feiran Wang, Christopher De Sa, Ce Zhang, and Christopher Ré. (2015). “Incremental Knowledge Base Construction Using DeepDive.” In: Proceedings of the VLDB Endowment Journal, 8(11). doi:10.14778/2809974.2809991
- (Zhang, 2015) ⇒ Ce Zhang. (2015). “DeepDive: A Data Management System for Automatic Knowledge Base Construction.” In: PhD thesis Journal.
2013
- (Kumar et al., 2013) ⇒ Arun Kumar, Feng Niu, and Christopher Ré. (2013). “Hazy: Making It Easier to Build and Maintain Big-data Analytics.” In: Communications of the ACM Journal, 56(3). doi:10.1145/2428556.2428570
2009
- (Dalvi et al., 2009) ⇒ Nilesh Dalvi, Christopher Ré, and Dan Suciu. (2009). “Probabilistic Databases: diamonds in the dirt.” In: Communications of the ACM, 52(7). doi:10.1145/1538788.1538810
2007
- (Ré et al., 2007) ⇒ Christopher Ré, Nilesh Dalvi, and Dan Suciu. (2007). “Efficient top-k query evaluation on probabilistic data.” In: Proceedings of the IEEE 23rd International Conference on Data Engineering (ICDE 2007).