Mi, Lu

14 publications

ICML 2025 Concept-Based Unsupervised Domain Adaptation Xinyue Xu, Yueying Hu, Hui Tang, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
ICLRW 2025 MCM: Multi-Layer Concept mAP for Efficient Concept Learning from Masked Images Yuwei Sun, Lu Mi, Ippei Fujisawa, Ryota Kanai
ICLR 2025 NetFormer: An Interpretable Model for Recovering Dynamical Connectivity in Neuronal Population Dynamics Ziyu Lu, Wuwei Zhang, Trung Le, Hao Wang, Uygar Sümbül, Eric Todd SheaBrown, Lu Mi
NeurIPS 2025 SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding Trung Le, Hao Fang, Jingyuan Li, Tung Nguyen, Lu Mi, Amy L Orsborn, Uygar Sümbül, Eli Shlizerman
NeurIPS 2024 Active Learning of Neural Population Dynamics Using Two-Photon Holographic Optogenetics Andrew Wagenmaker, Lu Mi, Marton Rozsa, Matthew S. Bull, Karel Svoboda, Kayvon Daie, Matthew D. Golub, Kevin Jamieson
ICLR 2024 Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xinyue Xu, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
NeurIPSW 2024 NetFormer: An Interpretable Model for Recovering Identity and Structure in Neural Population Dynamics Wuwei Zhang, Ziyu Lu, Trung Le, Hao Wang, Uygar Sümbül, Eric Todd SheaBrown, Lu Mi
NeurIPSW 2024 Structure Matters: Deciphering Neural Network's Properties from Its Structure Shashata Sawmya, Md Toki Tahmid, Gourab Saha, Arpita Saha, Nir N Shavit, Lu Mi
NeurIPSW 2023 Attention for Causal Relationship Discovery from Biological Neural Dynamics Ziyu Lu, Anika Tabassum, Shruti R. Kulkarn, Lu Mi, J. Nathan Kutz, Eric Todd SheaBrown, Seung-Hwan Lim
NeurIPS 2023 Learning Time-Invariant Representations for Individual Neurons from Population Dynamics Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül
CVPRW 2023 Learning to Correct Sloppy Annotations in Electron Microscopy Volumes Minghao Chen, Mukesh Bangalore Renuka, Lu Mi, Jeff Lichtman, Nir Shavit, Yaron Meirovitch
ICLR 2022 Connectome-Constrained Latent Variable Model of Whole-Brain Neural Activity Lu Mi, Richard Xu, Sridhama Prakhya, Albert Lin, Nir Shavit, Aravinthan Samuel, Srinivas C Turaga
AAAI 2022 Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit
CVPR 2021 HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov