Dubois, Yann

16 publications

CVPR 2025 Apollo: An Exploration of Video Understanding in Large Multimodal Models Orr Zohar, Xiaohan Wang, Yann Dubois, Nikhil Mehta, Tong Xiao, Philippe Hansen-Estruch, Licheng Yu, Xiaofang Wang, Felix Juefei-Xu, Ning Zhang, Serena Yeung-Levy, Xide Xia

ICML 2025 Learning to (Learn at Test Time): RNNs with Expressive Hidden States Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin

ICLR 2024 Identifying the Risks of LM Agents with an LM-Emulated Sandbox Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto

NeurIPS 2023 AlpacaFarm: A Simulation Framework for Methods That Learn from Human Feedback Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B Hashimoto

ICML 2023 Evaluating Self-Supervised Learning via Risk Decomposition Yann Dubois, Tatsunori Hashimoto, Percy Liang

NeurIPSW 2023 Identifying the Risks of LM Agents with an LM-Emulated Sandbox Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto

ICLR 2023 Is a Caption Worth a Thousand Images? a Study on Representation Learning Shibani Santurkar, Yann Dubois, Rohan Taori, Percy Liang, Tatsunori Hashimoto

ICML 2023 Learning Instance-Specific Augmentations by Capturing Local Invariances Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim

NeurIPS 2022 Improving Self-Supervised Learning by Characterizing Idealized Representations Yann Dubois, Stefano Ermon, Tatsunori B Hashimoto, Percy Liang

ICLR 2022 Optimal Representations for Covariate Shift Yangjun Ruan, Yann Dubois, Chris J. Maddison

NeurIPS 2021 Lossy Compression for Lossless Prediction Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J Maddison

ICLRW 2021 Lossy Compression for Lossless Prediction Yann Dubois, Benjamin Bloem-Reddy, Karen Ullrich, Chris J. Maddison

NeurIPSW 2021 Optimal Representations for Covariate Shifts Yann Dubois, Yangjun Ruan, Chris J. Maddison

ICLR 2020 Convolutional Conditional Neural Processes Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner

NeurIPS 2020 Learning Optimal Representations with the Decodable Information Bottleneck Yann Dubois, Douwe Kiela, David J Schwab, Ramakrishna Vedantam

NeurIPS 2020 Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes Andrew Foong, Wessel Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard Turner