Yash Kumar

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Efficient mathematical programming formulation and algorithmic framework for optimal camera placement.
Comput. Oper. Res., 2026

Multi-model machine learning for predicting tractor operator discomfort caused by whole-body vibration.
Comput. Electron. Agric., 2026

Do LLM hallucination detectors suffer from low-resource effect?
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025
Understanding Generalization, Robustness, and Interpretability in Low-Capacity Neural Networks.
CoRR, July, 2025

Energy network for state estimation with random sensors and sparse labels.
Comput. Phys. Commun., 2025

OpenSHMEM MLIR: A Dialect for Compile-Time Optimization of One-Sided Communications.
Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

Studying the capabilities of Large Language Models in solving Combinatorics Problems posed in Hindi.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2023
Deep convolutional architectures for extrapolative forecasts in time-dependent flow problems.
Adv. Model. Simul. Eng. Sci., December, 2023

The HRA Organ Gallery affords immersive superpowers for building and exploring the Human Reference Atlas with virtual reality.
Frontiers Bioinform., May, 2023

Preserving Heritage Palaces: A Deep Learning CNN-SVM Hybrid Approach for Multi-classification.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
State estimation with limited sensors - A deep learning based approach.
J. Comput. Phys., 2022

Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems.
CoRR, 2022

Energy networks for state estimation with random sensors using sparse labels.
CoRR, 2022

ML-Based Analysis to Identify Speech Features Relevant in Predicting Alzheimer's Disease.
Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

2021
GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations.
CoRR, 2021

2017
Fault prediction and reliability analysis in a real cellular network.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017

2011
Concordance and consensus.
Inf. Sci., 2011


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