Universal Neural Functionals
Allan Zhou, Chelsea Finn, James Harrison. Preprint. [arXiv] [Code]
Neural Processing of Tri-Plane Hybrid Neural Fields
Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti, Luigi Di Stefano. ICLR, 2024. [arXiv]
Fleet Policy Learning via Weight Merging and An Application to Robotic Tool-Use
Lirui Wang, Kaiqing Zhang, Allan Zhou, Max Simchowitz, Russ Tedrake. ICLR, 2024. [arXiv]
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning
Evan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn. ICML, 2023. [arXiv]
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback
Katherine Tian*, Eric Mitchell*, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning. EMNLP, 2023. [arXiv]
Neural Functional Transformers
Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn. NeurIPS 2023. [arXiv]
Permutation Equivariant Neural Functionals
Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn. NeurIPS 2023. [arXiv] [Code]
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis
Allan Zhou*, Moo Jin Kim*, Lirui Wang, Pete Florence, Chelsea Finn. CVPR 2023. [arXiv][Videos]
Unsupervised language models for disease variant prediction
Allan Zhou*, Nicholas C. Landolfi*, Daniel C. O’Neill. ML for Structural Biology and Learning Meaningful Representation of Life (Spotlight) Workshops, NeurIPS 2022. [arXiv][Spotlight video]
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations
Huaxiu Yao*, Xinyu Yang*, Allan Zhou, Chelsea Finn. Distribution Shift Workshop, NeurIPS 2022. [arXiv]
Policy Architectures for Compositional Generalization in Control
Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran. Scaling Robot Learning Workshop (Spotlight), RSS 2022. [arXiv][Site][Code]
Do deep networks transfer invariances across classes?
Allan Zhou*, Fahim Tajwar*, Alexander Robey, Tom Knowles, George J. Pappas, Hamed Hassani, Chelsea Finn. ICLR 2022. [arXiv][Code]
Noether Networks: meta-learning useful conserved quantities
Ferran Alet*, Dylan Doblar*, Allan Zhou, Joshua B. Tenenbaum, Kenji Kawaguchi, Chelsea Finn. NeurIPS 2021. [arXiv][Site][Code]
Discriminator Augmented Model-based Reinforcement Learning
Behzad Haghgoo*, Allan Zhou*, Archit Sharma, Chelsea Finn. NeurIPS 2021 Deep RL Workshop. [arXiv]
Meta-Learning Symmetries by Reparameterization
Allan Zhou, Tom Knowles, Chelsea Finn. ICLR 2021. [arXiv][Code]
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward
Allan Zhou, Eric Jang, Daniel Kappler, Alex Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn. ICLR 2020. [arXiv]
Cost functions for robot motion style
Allan Zhou, Anca Dragan. IROS 2018. [arXiv]
Expressive Robot Motion Timing
Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca Dragan. HRI 2017. [arXiv]