Luo, Andrew

14 publications

ICLR 2026 Compose Your Policies! Improving Diffusion-Based or Flow-Based Robot Policies via Test-Time Distribution-Level Composition Jiahang Cao, Yize Huang, Hanzhong Guo, Qiang Zhang, Rui Zhang, Weijian Mai, Mu Nan, Jiaxu Wang, Hao Cheng, Jingkai Sun, Gang Han, Wen Zhao, Yijie Guo, Qihao Zheng, Xiao Li, Chunfeng Song, Ping Luo, Andrew Luo

ICLR 2025 Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images with Vision Transformers Andrew Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Rajat Dewan, Margaret Marie Henderson, Leila Wehbe, Michael J. Tarr

NeurIPS 2025 In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain Ethan Hwang, Hossein Adeli, Wenxuan Guo, Andrew Luo, Nikolaus Kriegeskorte

NeurIPS 2025 Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex Muquan Yu, Mu Nan, Hossein Adeli, Jacob S. Prince, John A. Pyles, Leila Wehbe, Margaret Marie Henderson, Michael J. Tarr, Andrew Luo

NeurIPS 2025 SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning Weijian Mai, Jiamin Wu, Yu Zhu, Zhouheng Yao, Dongzhan Zhou, Andrew Luo, Qihao Zheng, Wanli Ouyang, Chunfeng Song

NeurIPS 2025 Vision Transformers with Self-Distilled Registers Zipeng Yan, Yinjie Chen, Chong Zhou, Bo Dai, Andrew Luo

ICLR 2024 BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity Andrew Luo, Margaret Marie Henderson, Michael J. Tarr, Leila Wehbe

NeurIPS 2024 Diffusion PID: Interpreting Diffusion via Partial Information Decomposition Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena, Yingshan Chang, Andrew Luo, Yonatan Bisk

NeurIPS 2023 Brain Diffusion for Visual Exploration: Cortical Discovery Using Large Scale Generative Models Andrew Luo, Maggie Henderson, Leila Wehbe, Michael Tarr

NeurIPS 2022 Learning Neural Acoustic Fields Andrew Luo, Yilun Du, Michael Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan

ICLR 2022 Prototype Memory and Attention Mechanisms for Few Shot Image Generation Tianqin Li, Zijie Li, Andrew Luo, Harold Rockwell, Amir Barati Farimani, Tai Sing Lee

ICCV 2021 SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators Andrew Luo, Tianqin Li, Wen-Hao Zhang, Tai Sing Lee

CVPR 2020 End-to-End Optimization of Scene Layout Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum

ICLR 2019 Learning to Infer and Execute 3D Shape Programs Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu