Christopher Ré

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 332

Top Venues

CoRR

NeurIPS

ICML

ICLR

Publications

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 (2024)
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 (2024)
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 (2024)
Michael Wornow, Avanika Narayan, Krista Opsahl-Ong, Quinn McIntyre, Nigam H. Shah, Christopher Ré
Automating the Enterprise with Foundation Models. CoRR (2024)
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 (2024)
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 (2024)
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)
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 (2024)
Sabri Eyuboglu, Karan Goel, Arjun D. Desai, Lingjiao Chen, Mathew Monfort, Christopher Ré, James Zou
Model ChangeLists: Characterizing Updates to ML Models. FAccT (2024)
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 (2024)
Michael Zhang, Kush Bhatia, Hermann Kumbong, Christopher Ré
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry. ICLR (2024)
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 (2024)
Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher Ré, Sebastian Thrun
Context-Aware Meta-Learning. ICLR (2024)
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)
Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian
Collage Diffusion. WACV (2024)
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 (2024)
Michael Zhang, Kush Bhatia, Hermann Kumbong, Christopher Ré
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry. CoRR (2024)
Daniel Y. Fu, Hermann Kumbong, Eric Nguyen, Christopher Ré
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores. ICLR (2024)
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)
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
O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models. CoRR (2023)
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 (2023)
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 (2023)
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)
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)
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 (2023)
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 (2023)
Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. NeurIPS (2023)
Moses Charikar, Beidi Chen, Christopher Ré, Erik Waingarten
Fast Algorithms for a New Relaxation of Optimal Transport. CoRR (2023)
Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré
Effectively Modeling Time Series with Simple Discrete State Spaces. CoRR (2023)
Armin W. Thomas, Christopher Ré, Russell A. Poldrack
Benchmarking explanation methods for mental state decoding with deep learning models. NeuroImage 273 (2023)
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) (2023)
Vishnu Sarukkai, Linden Li, Arden Ma, Christopher Ré, Kayvon Fatahalian
Collage Diffusion. CoRR (2023)
Christopher Fifty, Dennis Duan, Ronald G. Junkins, Ehsan Amid, Jure Leskovec, Christopher Ré, Sebastian Thrun
Context-Aware Meta-Learning. CoRR (2023)
Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré
Effectively Modeling Time Series with Simple Discrete State Spaces. ICLR (2023)
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)
Kush Bhatia, Avanika Narayan, Christopher De Sa, Christopher Ré
TART: A plug-and-play Transformer module for task-agnostic reasoning. CoRR (2023)
Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification. CoRR (2023)
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 (2023)
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)
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 (2023)
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)
Moses Charikar, Beidi Chen, Christopher Ré, Erik Waingarten
Fast Algorithms for a New Relaxation of Optimal Transport. COLT (2023)
Daniel Y. Fu, Hermann Kumbong, Eric Nguyen, Christopher Ré
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores. CoRR (2023)
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)
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)
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)
Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel L. Rubin
Towards trustworthy seizure onset detection using workflow notes. CoRR (2023)
Kush Bhatia, Avanika Narayan, Christopher De Sa, Christopher Ré
TART: A plug-and-play Transformer module for task-agnostic reasoning. NeurIPS (2023)
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)
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 (2023)
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 (2023)
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)
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)
Kevin Kiningham, Philip Alexander Levis, Christopher Ré
GRIP: A Graph Neural Network Accelerator Architecture. IEEE Trans. Computers 72 (4) (2023)
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)
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 (2023)
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)
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 (2023)
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 (2023)
Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya K, 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)
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)
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 (2023)
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)
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 (2022)
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)
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 (2022)
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)
Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, Christopher Ré
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness. NeurIPS (2022)
Christopher Ré
Is Data Management the Beating Heart of AI Systems? SIGMOD Conference (2022)
Armin W. Thomas, Christopher Ré, Russell A. Poldrack
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data. NeurIPS (2022)
Albert Gu, Karan Goel, Christopher Ré
Efficiently Modeling Long Sequences with Structured State Spaces. ICLR (2022)
Karan Goel, Albert Gu, Chris Donahue, Christopher Ré
It's Raw! Audio Generation with State-Space Models. ICML (2022)
Eric Nguyen, Karan Goel, Albert Gu, Gordon W. Downs, Preey Shah, Tri Dao, Stephen A. Baccus, Christopher Ré
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces. CoRR (2022)
Laurel J. Orr, Karan Goel, Christopher Ré
Data Management Opportunities for Foundation Models. CIDR (2022)
Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré
Can Foundation Models Wrangle Your Data? Proc. VLDB Endow. 16 (4) (2022)
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)
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)
Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré
Ask Me Anything: A simple strategy for prompting language models. CoRR (2022)
Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. ACL (Findings) (2022)
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)
Avanika Narayan, Ines Chami, Laurel J. Orr, Christopher Ré
Can Foundation Models Wrangle Your Data? CoRR (2022)
Karan Goel, Albert Gu, Chris Donahue, Christopher Ré
It's Raw! Audio Generation with State-Space Models. CoRR (2022)
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 (2022)
Albert Gu, Isys Johnson, Aman Timalsina, Atri Rudra, Christopher Ré
How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections. CoRR (2022)
Simran Arora, Christopher Ré
Can Foundation Models Help Us Achieve Perfect Secrecy? CoRR (2022)
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)
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. CoRR (2022)
Binhang Yuan, Yongjun He, Jared Quincy Davis, Tianyi Zhang, Tri Dao, Beidi Chen, Percy Liang, Christopher Ré, Ce Zhang
Decentralized Training of Foundation Models in Heterogeneous Environments. CoRR (2022)
Michael Zhang, Christopher Ré
Contrastive Adapters for Foundation Model Group Robustness. NeurIPS (2022)
Jupinder Parmar, Khaled Saab, Brian Pogatchnik, Daniel L. Rubin, Christopher Ré
The Importance of Background Information for Out of Distribution Generalization. CoRR (2022)
Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. CoRR (2022)
Armin W. Thomas, Christopher Ré, Russell A. Poldrack
Comparing interpretation methods in mental state decoding analyses with deep learning models. CoRR (2022)
Michael Zhang, Christopher Ré
Contrastive Adapters for Foundation Model Group Robustness. CoRR (2022)
Simran Arora, Sen Wu, Enci Liu, Christopher Ré
Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models. ACL (Findings) (2022)
Albert Gu, Karan Goel, Ankit Gupta, Christopher Ré
On the Parameterization and Initialization of Diagonal State Space Models. NeurIPS (2022)
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)
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. CoRR (2022)
Piero Molino, Christopher Ré
Declarative machine learning systems. Commun. ACM 65 (1) (2022)
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)
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 (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christopher Ré