A Hybrid Routing Scheme for Mobile Ad Hoc Networks with Mobile Backbones. - Ashish Pandey; Md. Nasir Ahmed; Nilesh Kumar; P. Gupta (HiPC, 2006)

Link Prediction Method Using Topological Features and Ensemble Model. - Shruti Pachaury; Nilesh Kumar; Ayush Khanduri; Himanshu Mittal (IC3, 2018)

Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. - Maryam Toloubidokhti; Nilesh Kumar; Zhiyuan Li 007; Prashnna K. Gyawali; Brian Zenger; Wilson W. Good; Rob S. MacLeod; Linwei Wang (MICCAI (8), 2022)

Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations. - Nilesh Kumar; Ruby Shrestha; Zhiyuan Li 007; Linwei Wang (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Continual Unsupervised Disentangling of Self-Organizing Representations. - Zhiyuan Li 007; Xiajun Jiang; Ryan Missel; Prashnna Kumar Gyawali; Nilesh Kumar; Linwei Wang (ICLR, 2023)

Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. - Nilesh Kumar; Prashnna K. Gyawali; Sandesh Ghimire; Linwei Wang (MICCAI (2), 2023)

Ranking Plant Network Nodes Based on Their Centrality Measures. - Nilesh Kumar; M. Shahid Mukhtar (Entropy, 2023)

DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks. - Maryam Toloubidokhti; Yubo Ye; Ryan Missel; Xiajun Jiang; Nilesh Kumar; Ruby Shrestha; Linwei Wang (ICLR, 2024)

Are Language Model Logits Calibrated? - Charles Lovering; Michael Krumdick; Viet Dac Lai; Nilesh Kumar; Varshini Reddy; Rik Koncel-Kedziorski; Chris Tanner (CoRR, 2024)

Viral Targets in the Human Interactome with Comprehensive Centrality Analysis: SARS-CoV-2, a Case Study. - Nilesh Kumar; M. Shahid Mukhtar (Data, 2024)

Language Model Probabilities are Not Calibrated in Numeric Contexts. - Charles Lovering; Michael Krumdick; Viet Dac Lai; Varshini Reddy; Seth Ebner; Nilesh Kumar; Rik Koncel-Kedziorski; Chris Tanner (ACL (1), 2025)