Andrew Luo

According to our database, Andrew Luo authored at least 26 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

AttenA+: Rectifying Action Inequality in Robotic Foundation Models.

Daojie Peng, Fulong Ma, Jiahang Cao, Qiang Zhang, Xupeng Xie, Jian Guo, Ping Luo, Andrew F. Luo, Boyu Zhou, Jun Ma

CoRR, May, 2026

Elastic Attention Cores for Scalable Vision Transformers.

Alan Z. Song, Yinjie Chen, Mu Nan, Rui Zhang, Jiahang Cao, Weijian Mai, Muquan Yu, Hossein Adeli, Deva Ramanan, Michael J. Tarr, Andrew F. Luo

CoRR, May, 2026

NeuroFlow: Toward Unified Visual Encoding and Decoding from Neural Activity.

Weijian Mai, Mu Nan, Yu Zhu, Jiahang Cao, Rui Zhang, Yuqin Dai, Chunfeng Song, Andrew F. Luo, Jiamin Wu

CoRR, April, 2026

Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding.

Mu Nan, Muquan Yu, Weijian Mai, Jacob S. Prince, Hossein Adeli, Rui Zhang, Jiahang Cao, Benjamin Becker, John A. Pyles, Margaret M. Henderson, Chunfeng Song, Nikolaus Kriegeskorte, Michael J. Tarr, Xiaoqing Hu, Andrew F. Luo

CoRR, April, 2026

Human-like Object Grouping in Self-supervised Vision Transformers.

Hossein Adeli, Seoyoung Ahn, Andrew F. Luo, Mengmi Zhang, Nikolaus Kriegeskorte, Gregory J. Zelinsky

CoRR, March, 2026

Real-to-Sim for Highly Cluttered Environments via Physics-Consistent Inter-Object Reasoning.

Tianyi Xiang, Jiahang Cao, Sikai Guo, Guoyang Zhao, Andrew F. Luo, Jun Ma

CoRR, February, 2026

BrainLMM: A Label-Free Framework for Mapping Multi-Semantic Representation in the Human Visual Cortex.

Tan Gao, Mufan Xue, Haofang Zheng, Shuo Lv, Jia Xu, Dabin Sheng, Ziming Mao, Xinyu Wu, Andrew Luo, Guoyuan Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition.

Jiahang Cao, Yize Huang, Hanzhong Guo, Rui Zhang, Mu Nan, Weijian Mai, Jiaxu Wang, Hao Cheng, Jingkai Sun, Gang Han, Wen Zhao, Qiang Zhang, Yijie Guo, Qihao Zheng, Chunfeng Song, Xiao Li, Ping Luo, Andrew F. Luo

CoRR, October, 2025

SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning.

Weijian Mai, Jiamin Wu, Yu Zhu, Zhouheng Yao, Dongzhan Zhou, Andrew F. Luo, Qihao Zheng, Wanli Ouyang, Chunfeng Song

CoRR, August, 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 M. Henderson, Michael J. Tarr, Andrew F. Luo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Vision Transformers with Self-Distilled Registers.

Zipeng Yan, Yinjie Chen, Chong Zhou, Bo Dai, Andrew Luo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain.

Ethan Hwang, Hossein Adeli, Wenxuan Guo, Andrew F. Luo, Nikolaus Kriegeskorte

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers.

Andrew F. Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Dewan, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Reanimating Images using Neural Representations of Dynamic Stimuli.

Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images.

Rushikesh Zawar, Shaurya Dewan, Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe

CoRR, 2024

DiffusionPID: Interpreting Diffusion via Partial Information Decomposition.

Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena, Yingshan Chang, Andrew F. Luo, Yonatan Bisk

CoRR, 2024

Neural Representations of Dynamic Visual Stimuli.

Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr

CoRR, 2024

Diffusion PID: Interpreting Diffusion via Partial Information Decomposition.

Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena, Yingshan Chang, Andrew F. Luo, Yonatan Bisk

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Disentangled Acoustic Fields For Multimodal Physical Scene Understanding.

Jie Yin, Andrew Luo, Yilun Du, Anoop Cherian, Tim K. Marks, Jonathan Le Roux, Chuang Gan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity.

Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models.

Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Learning Neural Acoustic Fields.

Andrew F. Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators.

Andrew Luo, Tianqin Li, Wen-Hao Zhang, Tai Sing Lee

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

End-to-End Optimization of Scene Layout.

Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Proceedings of the 7th International Conference on Learning Representations, 2019