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ORCIDChristopher Ré
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- affiliation: Stanford University, Department of Computer Science, USA
- affiliation: University of Wisconsin-Madison, USA
- affiliation: University of Washington, Seattle, Washington, USA
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2020 – today
- 2024
[j79]Khaled Saab
, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin:
Towards trustworthy seizure onset detection using workflow notes. npj Digit. Medicine 7(1) (2024)- [j78]Michael Wornow, Avanika Narayan, Krista Opsahl-Ong, Quinn McIntyre, Nigam Shah, Christopher Ré:
Automating the Enterprise with Foundation Models. Proc. VLDB Endow. 17(11): 2805-2812 (2024) - [c216]Sabri Eyuboglu, Karan Goel, Arjun D. Desai, Lingjiao Chen, Mathew Monfort, Christopher Ré, James Zou:
Model ChangeLists: Characterizing Updates to ML Models. FAccT 2024: 2432-2453 - [c215]Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré:
Zoology: Measuring and Improving Recall in Efficient Language Models. ICLR 2024 - [c214]Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher Ré, Sebastian Thrun:
Context-Aware Meta-Learning. ICLR 2024 - [c213]Daniel Y. Fu, Hermann Kumbong, Eric Nguyen, Christopher Ré:
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores. ICLR 2024 - [c212]Michael Zhang, Kush Bhatia, Hermann Kumbong, Christopher Ré:
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry. ICLR 2024 - [c211]Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, James Zou, Atri Rudra, Christopher Ré:
Simple linear attention language models balance the recall-throughput tradeoff. ICML 2024 - [c210]Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick:
Prospector Heads: Generalized Feature Attribution for Large Models & Data. ICML 2024 - [c209]Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T. H. Smith, Ramin M. Hasani, Mathias Lechner, Qi An, Christopher Ré, Hajime Asama, Stefano Ermon, Taiji Suzuki, Michael Poli, Atsushi Yamashita:
State-Free Inference of State-Space Models: The *Transfer Function* Approach. ICML 2024 - [c208]Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli:
Mechanistic Design and Scaling of Hybrid Architectures. ICML 2024 - [c207]Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré:
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. ICML 2024 - [c206]Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian:
Collage Diffusion. WACV 2024: 4196-4205 - [i181]Michael Zhang, Kush Bhatia, Hermann Kumbong, Christopher Ré:
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry. CoRR abs/2402.04347 (2024) - [i180]Jordan Juravsky, Bradley C. A. Brown, Ryan Saul Ehrlich, Daniel Y. Fu, Christopher Ré, Azalia Mirhoseini:
Hydragen: High-Throughput LLM Inference with Shared Prefixes. CoRR abs/2402.05099 (2024) - [i179]Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré:
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. CoRR abs/2402.07440 (2024) - [i178]Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick:
Prospector Heads: Generalized Feature Attribution for Large Models & Data. CoRR abs/2402.11729 (2024) - [i177]Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, Christopher Ré:
Simple linear attention language models balance the recall-throughput tradeoff. CoRR abs/2402.18668 (2024) - [i176]Michael Poli, Armin W. Thomas, Eric Nguyen, Pragaash Ponnusamy, Björn Deiseroth, Kristian Kersting, Taiji Suzuki, Brian Hie, Stefano Ermon, Christopher Ré, Ce Zhang, Stefano Massaroli:
Mechanistic Design and Scaling of Hybrid Architectures. CoRR abs/2403.17844 (2024) - [i175]Michael Wornow, Avanika Narayan, Krista Opsahl-Ong, Quinn McIntyre, Nigam H. Shah, Christopher Ré:
Automating the Enterprise with Foundation Models. CoRR abs/2405.03710 (2024) - [i174]Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro, Jimmy T. H. Smith, Ramin M. Hasani, Mathias Lechner, Qi An, Christopher Ré, Hajime Asama, Stefano Ermon, Taiji Suzuki, Atsushi Yamashita, Michael Poli:
State-Free Inference of State-Space Models: The Transfer Function Approach. CoRR abs/2405.06147 (2024) - [i173]Michael Wornow, Avanika Narayan, Ben Viggiano, Ishan S. Khare, Tathagat Verma, Tibor Thompson, Miguel Angel Fuentes Hernandez, Sudharsan Sundar, Chloe Trujillo, Krrish Chawla, Rongfei Lu, Justin Shen, Divya Nagaraj, Joshua Martinez, Vardhan Agrawal, Althea Hudson, Nigam H. Shah, Christopher Ré:
Do Multimodal Foundation Models Understand Enterprise Workflows? A Benchmark for Business Process Management Tasks. CoRR abs/2406.13264 (2024) - [i172]Simran Arora, Aman Timalsina, Aaryan Singhal, Benjamin Spector, Sabri Eyuboglu, Xinyi Zhao, Ashish Rao, Atri Rudra, Christopher Ré:
Just read twice: closing the recall gap for recurrent language models. CoRR abs/2407.05483 (2024) - [i171]Bradley C. A. Brown, Jordan Juravsky, Ryan Saul Ehrlich, Ronald Clark, Quoc V. Le, Christopher Ré, Azalia Mirhoseini:
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling. CoRR abs/2407.21787 (2024) - [i170]Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, Nahum Maru, Hristo Todorov, Etash Guha, Estefany Kelly Buchanan, Mayee Chen, Neel Guha, Christopher Ré, Azalia Mirhoseini:
Archon: An Architecture Search Framework for Inference-Time Techniques. CoRR abs/2409.15254 (2024) - [i169]Avanika Narayan, Mayee F. Chen, Kush Bhatia, Christopher Ré:
Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates. CoRR abs/2410.05224 (2024) - [i168]Christopher Fifty, Ronald G. Junkins, Dennis Duan, Aniketh Iger, Jerry W. Liu, Ehsan Amid, Sebastian Thrun, Christopher Ré:
Restructuring Vector Quantization with the Rotation Trick. CoRR abs/2410.06424 (2024) - [i167]Vishnu Sarukkai, Brennan Shacklett, Zander Majercik, Kush Bhatia, Christopher Ré, Kayvon Fatahalian:
Automated Rewards via LLM-Generated Progress Functions. CoRR abs/2410.09187 (2024) - [i166]Michael Zhang, Simran Arora, Rahul Chalamala, Alan Wu, Benjamin Spector, Aaryan Singhal, Krithik Ramesh, Christopher Ré:
LoLCATs: On Low-Rank Linearizing of Large Language Models. CoRR abs/2410.10254 (2024) - [i165]Benjamin Spector, Simran Arora, Aaryan Singhal, Daniel Y. Fu, Christopher Ré:
ThunderKittens: Simple, Fast, and Adorable AI Kernels. CoRR abs/2410.20399 (2024) - 2023
- [j77]Armin W. Thomas, Christopher Ré, Russell A. Poldrack:
Benchmarking explanation methods for mental state decoding with deep learning models. NeuroImage 273: 120109 (2023) - [j76]Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré:
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. Proc. VLDB Endow. 17(2): 92-105 (2023) - [j75]Simran Arora, Patrick S. H. Lewis, Angela Fan, Jacob Kahn, Christopher Ré:
Reasoning over Public and Private Data in Retrieval-Based Systems. Trans. Assoc. Comput. Linguistics 11: 902-921 (2023) - [j74]Kevin Kiningham, Philip Alexander Levis, Christopher Ré:
GRIP: A Graph Neural Network Accelerator Architecture. IEEE Trans. Computers 72(4): 914-925 (2023) - [j73]Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda:
Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 2023 (2023) - [c205]Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou:
HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs. AAAI 2023: 16416-16418 - [c204]Moses Charikar, Beidi Chen, Christopher Ré, Erik Waingarten:
Fast Algorithms for a New Relaxation of Optimal Transport. COLT 2023: 4831-4862 - [c203]Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Christopher Ré:
Ask Me Anything: A simple strategy for prompting language models. ICLR 2023 - [c202]Daniel Y. Fu, Tri Dao, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher Ré:
Hungry Hungry Hippos: Towards Language Modeling with State Space Models. ICLR 2023 - [c201]Albert Gu, Isys Johnson, Aman Timalsina, Atri Rudra, Christopher Ré:
How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections. ICLR 2023 - [c200]Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré:
Effectively Modeling Time Series with Simple Discrete State Spaces. ICLR 2023 - [c199]Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré:
Simple Hardware-Efficient Long Convolutions for Sequence Modeling. ICML 2023: 10373-10391 - [c198]Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Ré, Beidi Chen:
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. ICML 2023: 22137-22176 - [c197]Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré:
Hyena Hierarchy: Towards Larger Convolutional Language Models. ICML 2023: 28043-28078 - [c196]Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang:
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU. ICML 2023: 31094-31116 - [c195]Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher Ré, Ce Zhang:
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks. ICML 2023: 36058-36076 - [c194]Kush Bhatia, Avanika Narayan, Christopher De Sa, Christopher Ré:
TART: A plug-and-play Transformer module for task-agnostic reasoning. NeurIPS 2023 - [c193]Mayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré:
Skill-it! A data-driven skills framework for understanding and training language models. NeurIPS 2023 - [c192]Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré:
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. NeurIPS 2023 - [c191]Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré:
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. NeurIPS 2023 - [c190]Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, K. Aditya, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li:
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. NeurIPS 2023 - [c189]Sarah M. Hooper, Mayee F. Chen, Khaled Saab, Kush Bhatia, Curtis P. Langlotz, Christopher Ré:
A case for reframing automated medical image classification as segmentation. NeurIPS 2023 - [c188]Stefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun, David W. Romero, Aman Timalsina, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio:
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions. NeurIPS 2023 - [c187]Eric Nguyen, Michael Poli, Marjan Faizi, Armin W. Thomas, Michael Wornow, Callum Birch-Sykes, Stefano Massaroli, Aman Patel, Clayton M. Rabideau, Yoshua Bengio, Stefano Ermon, Christopher Ré, Stephen Baccus:
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution. NeurIPS 2023 - [c186]Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen:
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. NeurIPS 2023 - [i164]Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré:
Simple Hardware-Efficient Long Convolutions for Sequence Modeling. CoRR abs/2302.06646 (2023) - [i163]Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré:
Hyena Hierarchy: Towards Larger Convolutional Language Models. CoRR abs/2302.10866 (2023) - [i162]Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian:
Collage Diffusion. CoRR abs/2303.00262 (2023) - [i161]Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Daniel Y. Fu, Zhiqiang Xie, Beidi Chen, Clark W. Barrett, Joseph E. Gonzalez, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang:
High-throughput Generative Inference of Large Language Models with a Single GPU. CoRR abs/2303.06865 (2023) - [i160]Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré:
Effectively Modeling Time Series with Simple Discrete State Spaces. CoRR abs/2303.09489 (2023) - [i159]Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré:
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. CoRR abs/2304.09433 (2023) - [i158]Kush Bhatia, Avanika Narayan, Christopher De Sa, Christopher Ré:
TART: A plug-and-play Transformer module for task-agnostic reasoning. CoRR abs/2306.07536 (2023) - [i157]Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin:
Towards trustworthy seizure onset detection using workflow notes. CoRR abs/2306.08728 (2023) - [i156]Zhenyu Zhang, Ying Sheng, Tianyi Zhou, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen:
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. CoRR abs/2306.14048 (2023) - [i155]Eric Nguyen, Michael Poli, Marjan Faizi, Armin W. Thomas, Callum Birch-Sykes, Michael Wornow, Aman Patel, Clayton M. Rabideau, Stefano Massaroli, Yoshua Bengio, Stefano Ermon, Stephen A. Baccus, Christopher Ré:
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution. CoRR abs/2306.15794 (2023) - [i154]Moses Charikar, Beidi Chen, Christopher Ré, Erik Waingarten:
Fast Algorithms for a New Relaxation of Optimal Transport. CoRR abs/2307.10042 (2023) - [i153]Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré:
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. CoRR abs/2307.11031 (2023) - [i152]Mayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré:
Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models. CoRR abs/2307.14430 (2023) - [i151]Benjamin Spector, Christopher Ré:
Accelerating LLM Inference with Staged Speculative Decoding. CoRR abs/2308.04623 (2023) - [i150]Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li:
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. CoRR abs/2308.11462 (2023) - [i149]Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher Ré, Sebastian Thrun:
Context-Aware Meta-Learning. CoRR abs/2310.10971 (2023) - [i148]Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré:
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. CoRR abs/2310.12109 (2023) - [i147]Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Ré, Beidi Chen:
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. CoRR abs/2310.17157 (2023) - [i146]Stefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun, Aman Timalsina, David W. Romero, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio:
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions. CoRR abs/2310.18780 (2023) - [i145]Daniel Y. Fu, Hermann Kumbong, Eric Nguyen, Christopher Ré:
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores. CoRR abs/2311.05908 (2023) - [i144]Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré:
Zoology: Measuring and Improving Recall in Efficient Language Models. CoRR abs/2312.04927 (2023) - 2022
- [j72]Piero Molino, Christopher Ré:
Declarative machine learning systems. Commun. ACM 65(1): 42-49 (2022) - [j71]Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022) - [j70]Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher Ré, Kevin Murphy:
Machine Learning on Graphs: A Model and Comprehensive Taxonomy. J. Mach. Learn. Res. 23: 89:1-89:64 (2022) - [j69]Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré:
Can Foundation Models Wrangle Your Data? Proc. VLDB Endow. 16(4): 738-746 (2022) - [c185]Simran Arora, Sen Wu, Enci Liu, Christopher Ré:
Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models. ACL (Findings) 2022: 1733-1745 - [c184]Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré:
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. ACL (Findings) 2022: 2147-2166 - [c183]Laurel J. Orr, Karan Goel, Christopher Ré:
Data Management Opportunities for Foundation Models. CIDR 2022 - [c182]Sabri Eyuboglu, Bojan Karlas, Christopher Ré, Ce Zhang, James Zou:
dcbench: a benchmark for data-centric AI systems. DEEM@SIGMOD 2022: 9:1-9:4 - [c181]Beidi Chen, Tri Dao, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Ré:
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models. ICLR 2022 - [c180]Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré:
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. ICLR 2022 - [c179]Albert Gu, Karan Goel, Christopher Ré:
Efficiently Modeling Long Sequences with Structured State Spaces. ICLR 2022 - [c178]Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré:
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. ICML 2022: 3090-3122 - [c177]Tri Dao, Beidi Chen, Nimit Sharad Sohoni, Arjun D. Desai, Michael Poli, Jessica Grogan, Alexander Liu, Aniruddh Rao, Atri Rudra, Christopher Ré:
Monarch: Expressive Structured Matrices for Efficient and Accurate Training. ICML 2022: 4690-4721 - [c176]Karan Goel, Albert Gu, Chris Donahue, Christopher Ré:
It's Raw! Audio Generation with State-Space Models. ICML 2022: 7616-7633 - [c175]Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré:
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations. ICML 2022: 26484-26516 - [c174]Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari:
VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction. MIDL 2022: 325-352 - [c173]Khaled Saab, Sarah M. Hooper, Mayee F. Chen, Michael Zhang, Daniel L. Rubin, Christopher Ré:
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity. MLHC 2022: 760-784 - [c172]Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y. Zou:
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. NeurIPS 2022 - [c171]Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, Christopher Ré:
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness. NeurIPS 2022 - [c170]Albert Gu, Karan Goel, Ankit Gupta, Christopher Ré:
On the Parameterization and Initialization of Diagonal State Space Models. NeurIPS 2022 - [c169]Eric Nguyen, Karan Goel, Albert Gu, Gordon W. Downs, Preey Shah, Tri Dao, Stephen Baccus, Christopher Ré:
S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces. NeurIPS 2022 - [c168]Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao, Christopher Ré, Stefano Ermon:
Transform Once: Efficient Operator Learning in Frequency Domain. NeurIPS 2022 - [c167]Armin W. Thomas, Christopher Ré, Russell A. Poldrack:
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data. NeurIPS 2022 - [c166]Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang:
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees. NeurIPS 2022 - [c165]Binhang Yuan, Yongjun He, Jared Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang:
Decentralized Training of Foundation Models in Heterogeneous Environments. NeurIPS 2022 - [c164]Michael Zhang, Christopher Ré:
Contrastive Adapters for Foundation Model Group Robustness. NeurIPS 2022 - [c163]Christopher Ré:
Is Data Management the Beating Heart of AI Systems? SIGMOD Conference 2022: 3 - [c162]Anastasia Ailamaki, Leilani Battle, Johannes Gehrke, Masaru Kitsuregawa, David Maier, Christopher Ré, Meihui Zhang, Magdalena Balazinska:
The DB Community vis-à-vis Environmental, Health, and Societal Grand Challenges: Innovation Engine, Plumber, or Bystander? SIGMOD Conference 2022: 2498-2500 - [c161]Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré:
Shoring up the foundations: fusing model embeddings and weak supervision. UAI 2022: 357-367 - [i143]Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré:
BARACK: Partially Supervised Group Robustness With Guarantees. CoRR abs/2201.00072 (2022) - [i142]Karan Goel, Albert Gu, Chris Donahue, Christopher Ré:
It's Raw! Audio Generation with State-Space Models. CoRR abs/2202.09729 (2022) - [i141]Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré:
Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations. CoRR abs/2203.01517 (2022) - [i140]Arjun D. Desai, Andrew M. Schmidt, Elka B. Rubin, Christopher M. Sandino, Marianne S. Black, Valentina Mazzoli, Kathryn J. Stevens, Robert Boutin, Christopher Ré, Garry Gold, Brian A. Hargreaves, Akshay S. Chaudhari:
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation. CoRR abs/2203.06823 (2022) - [i139]Simran Arora, Patrick S. H. Lewis, Angela Fan, Jacob Kahn, Christopher Ré:
Reasoning over Public and Private Data in Retrieval-Based Systems. CoRR abs/2203.11027 (2022) - [i138]Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré:
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision. CoRR abs/2203.13270 (2022) - [i137]