Andrew F. Luo - RankMe

18 papers A* 6Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Real-to-Sim for Highly Cluttered Environments via Physics-Consistent Inter-Object Reasoning. CoRR Tianyi Xiang, Jiahang Cao, Sikai Guo, Guoyang Zhao, Andrew F. Luo, Jun Ma
2025	A*	`conf`	Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers. ICLR Andrew F. Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Dewan, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr
2025	J	`jnl`	Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition. CoRR 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
2025	J	`jnl`	Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex. CoRR Muquan Yu, Mu Nan, Hossein Adeli, Jacob S. Prince, John A. Pyles, Leila Wehbe, Margaret M. Henderson, Michael J. Tarr, Andrew F. Luo
2025	A*	`conf`	Reanimating Images using Neural Representations of Dynamic Stimuli. CVPR Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr
2025	J	`jnl`	SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning. CoRR Weijian Mai, Jiamin Wu, Yu Zhu, Zhouheng Yao, Dongzhan Zhou, Andrew F. Luo, Qihao Zheng, Wanli Ouyang, Chunfeng Song
2025	J	`jnl`	Vision Transformers with Self-Distilled Registers. CoRR Yinjie Chen, Zipeng Yan, Chong Zhou, Bo Dai, Andrew F. Luo
2024	J	`jnl`	Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers. CoRR Andrew F. Luo, Jacob Yeung, Rushikesh Zawar, Shaurya Dewan, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr
2024	A*	`conf`	BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. ICLR Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe
2024	A*	`conf`	Diffusion PID: Interpreting Diffusion via Partial Information Decomposition. NeurIPS Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena, Yingshan Chang, Andrew F. Luo, Yonatan Bisk
2024	J	`jnl`	DiffusionPID: Interpreting Diffusion via Partial Information Decomposition. CoRR Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena, Yingshan Chang, Andrew F. Luo, Yonatan Bisk
2024	J	`jnl`	Neural Representations of Dynamic Visual Stimuli. CoRR Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr
2024	J	`jnl`	StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images. CoRR Rushikesh Zawar, Shaurya Dewan, Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe
2023	A*	`conf`	Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. NeurIPS Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr
2023	J	`jnl`	Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models. CoRR Andrew F. Luo, Margaret M. Henderson, Leila Wehbe, Michael J. Tarr
2023	J	`jnl`	BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. CoRR Andrew F. Luo, Margaret M. Henderson, Michael J. Tarr, Leila Wehbe
2022	A*	`conf`	Learning Neural Acoustic Fields. NeurIPS Andrew F. Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan
2022	J	`jnl`	Learning Neural Acoustic Fields. CoRR Andrew F. Luo, Yilun Du, Michael J. Tarr, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan