2 citations · 2 across the 3 of their papers we have counts for
3 papers
Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations
Nilesh Kumar, Ruby Shrestha, Zhiyuan Li +1
Spurious correlation caused by subgroup underrepresentation has received increasing attention as a source of bias that can be perpetuated by deep neural networks (DNNs). Distributi…
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation
Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire +1
Obtaining labelled data in medical image segmentation is challenging due to the need for pixel-level annotations by experts. Recent works have shown that augmenting the object of i…
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators
Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li +5
Prior knowledge about the imaging physics provides a mechanistic forward operator that plays an important role in image reconstruction, although myriad sources of possible errors i…