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Linwei Wang
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Publications
- 2023
- [c89]Nilesh Kumar, Ruby Shrestha, Zhiyuan Li, Linwei Wang:
Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations. CLIP/FAIMI/EPIMI@MICCAI 2023: 183-193 - [c87]Zhiyuan Li, Xiajun Jiang, Ryan Missel, Prashnna Kumar Gyawali, Nilesh Kumar, Linwei Wang:
Continual Unsupervised Disentangling of Self-Organizing Representations. ICLR 2023 - [c85]Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang:
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. MICCAI (2) 2023: 255-265 - [i23]Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang:
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. CoRR abs/2307.13645 (2023) - [i22]Nilesh Kumar, Ruby Shrestha, Zhiyuan Li, Linwei Wang:
Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations. CoRR abs/2308.06434 (2023) - 2022
- [c81]Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang:
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. MICCAI (8) 2022: 459-468 - [i19]Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang:
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. CoRR abs/2211.01373 (2022)
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