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2020 – today
- 2024
[c10]Xinyue Xu, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li:
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations. ICLR 2024- [c9]Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, Niloofar Mireshghallah, Binyi Chen, Hao Wang, Yulia Tsvetkov:
LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud. NAACL-HLT (Findings) 2024: 2674-2690 - [i14]Xinyue Xu, Yi Qin
, Lu Mi, Hao Wang, Xiaomeng Li:
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Conditional Interpretations. CoRR abs/2401.14142 (2024) - 2023
- [c8]Minghao Chen, Mukesh Bangalore Renuka, Lu Mi, Jeff Lichtman, Nir Shavit, Yaron Meirovitch:
Learning to Correct Sloppy Annotations in Electron Microscopy Volumes. CVPR Workshops 2023: 4273-4284 - [c7]Yicong Li, Yaron Meirovitch, Aaron T. Kuan, Jasper S. Phelps, Alexandra Pacureanu, Wei-Chung Allen Lee, Nir Shavit, Lu Mi:
X-Ray2EM: Uncertainty-Aware Cross-Modality Image Reconstruction from X-Ray to Electron Microscopy in Connectomics. ISBI 2023: 1-5 - [c6]Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül:
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics. NeurIPS 2023 - [i13]Tri Nguyen, Mukul Narwani, Mark Larson, Yicong Li, Shuhan Xie, Hanspeter Pfister, Donglai Wei, Nir Shavit, Lu Mi, Alexandra Pacureanu, Wei-Chung Lee, Aaron T. Kuan:
The XPRESS Challenge: Xray Projectomic Reconstruction - Extracting Segmentation with Skeletons. CoRR abs/2302.03819 (2023) - [i12]Yicong Li, Yaron Meirovitch, Aaron T. Kuan, Jasper S. Phelps, Alexandra Pacureanu, Wei-Chung Allen Lee, Nir Shavit, Lu Mi:
X-Ray2EM: Uncertainty-Aware Cross-Modality Image Reconstruction from X-Ray to Electron Microscopy in Connectomics. CoRR abs/2303.00882 (2023) - [i11]Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, Fatemehsadat Mireshghallah, Binyi Chen, Hao Wang, Yulia Tsvetkov:
LatticeGen: A Cooperative Framework which Hides Generated Text in a Lattice for Privacy-Aware Generation on Cloud. CoRR abs/2309.17157 (2023) - [i10]Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül:
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics. CoRR abs/2311.02258 (2023) - [i9]Ziyu Lu, Anika Tabassum, Shruti R. Kulkarni, Lu Mi, J. Nathan Kutz, Eric Shea-Brown, Seung-Hwan Lim:
Attention for Causal Relationship Discovery from Biological Neural Dynamics. CoRR abs/2311.06928 (2023) - 2022
- [b1]Lu Mi:
Deep Learning Tools for Next-Generation Connectomics. MIT, USA, 2022 - [c5]Lu Mi, Hao Wang, Yonglong Tian, Hao He, Nir Shavit:
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate. AAAI 2022: 10042-10050 - [c4]Lu Mi, Richard Xu, Sridhama Prakhya, Albert Lin, Nir Shavit, Aravinthan D. T. Samuel, Srinivas C. Turaga:
Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity. ICLR 2022 - [i8]Zhongren Chen, Xinyue Xu, Shengyi Jiang, Hao Wang, Lu Mi:
Subgraph Frequency Distribution Estimation using Graph Neural Networks. CoRR abs/2207.06684 (2022) - [i7]Lu Mi, Abhijit Kundu, David A. Ross, Frank Dellaert, Noah Snavely, Alireza Fathi:
im2nerf: Image to Neural Radiance Field in the Wild. CoRR abs/2209.04061 (2022) - 2021
- [c3]Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov:
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. CVPR 2021: 4227-4236 - [i6]Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit:
Learning Guided Electron Microscopy with Active Acquisition. CoRR abs/2101.02746 (2021) - [i5]Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov:
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. CoRR abs/2106.14880 (2021) - [i4]Lu Mi, Tianxing He, Core Francisco Park, Hao Wang, Yue Wang, Nir Shavit:
Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework. CoRR abs/2110.06421 (2021) - 2020
- [j2]Yanchun Xu, Yufei Du, Zhenxing Li, Lei Xi, Lu Mi:
Inter-harmonics analysis and parameter estimation based on H2R6 window and constructing low-interference zone. IET Commun. 14(1): 28-36 (2020) - [c2]Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit:
Learning Guided Electron Microscopy with Active Acquisition. MICCAI (5) 2020: 77-87
2010 – 2019
- 2019
- [c1]Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Nir Shavit:
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics. CVPR 2019: 8425-8435 - [i3]Lu Mi, Hao Wang, Yonglong Tian, Nir Shavit:
Training-Free Uncertainty Estimation for Neural Networks. CoRR abs/1910.04858 (2019) - 2018
- [i2]Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Casimir Wierzynski, Nir Shavit:
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics. CoRR abs/1812.01157 (2018) - [i1]Lu Mi, Macheng Shen, Jingzhao Zhang:
A Probe Towards Understanding GAN and VAE Models. CoRR abs/1812.05676 (2018) - 2016
- [j1]Liang Huang, Long Tu, Xueyong Zeng, Lu Mi, Xuzhou Li, Wenhui Wang:
Study of a Microfluidic Chip Integrating Single Cell Trap and 3D Stable Rotation Manipulation. Micromachines 7(8): 141 (2016)
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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