Nilesh Kumar

According to our database, Nilesh Kumar authored at least 12 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Efficient Federated Learning Architecture for Edge Recommendation under Multi-Skew Data in 6G Networks.

Nilesh Kumar, Jagdeep Singh, Gurjinder Kaur

Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2025

2024

Viral Targets in the Human Interactome with Comprehensive Centrality Analysis: SARS-CoV-2, a Case Study.

Nilesh Kumar, M. Shahid Mukhtar

Data, August, 2024

Are Language Model Logits Calibrated?

Charles Lovering, Michael Krumdick, Viet Dac Lai, Nilesh Kumar, Varshini Reddy, Rik Koncel-Kedziorski, Chris Tanner

CoRR, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Ranking Plant Network Nodes Based on Their Centrality Measures.

Nilesh Kumar, M. Shahid Mukhtar

Entropy, April, 2023

Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation.

Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Continual Unsupervised Disentangling of Self-Organizing Representations.

Zhiyuan Li, Xiajun Jiang, Ryan Missel, Prashnna Kumar Gyawali, Nilesh Kumar, Linwei Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations.

Nilesh Kumar, Ruby Shrestha, Zhiyuan Li, Linwei Wang

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022

Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators.

Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2018

Link Prediction Method Using Topological Features and Ensemble Model.

Shruti Pachaury, Nilesh Kumar, Ayush Khanduri, Himanshu Mittal

Proceedings of the 2018 Eleventh International Conference on Contemporary Computing, 2018

2006

A Hybrid Routing Scheme for Mobile Ad Hoc Networks with Mobile Backbones.

Ashish Pandey, Md. Nasir Ahmed, Nilesh Kumar, P. Gupta

Proceedings of the High Performance Computing, 2006