Arghya Bhattacharya

According to our database, Arghya Bhattacharya authored at least 15 papers between 2018 and 2026.

Collaborative distances:

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

2026

SCRIBE: Diagnostic Evaluation and Rich Transcription Models for Indic ASR.

Kavya Manohar, Arghya Bhattacharya, Kush Juvekar, Kumarmanas Nethil

CoRR, May, 2026

Vividh-ASR: A Complexity-Tiered Benchmark and Optimization Dynamics for Robust Indic Speech Recognition.

Kush Juvekar, Kavya Manohar, Aditya Srinivas Menon, Arghya Bhattacharya, Kumarmanas Nethil

CoRR, May, 2026

CourtNav: Voice-Guided, Anchor-Accurate Navigation of Long Legal Documents in Courtrooms.

Sai Khadloya, Kush Juvekar, Arghya Bhattacharya, Utkarsh Saxena

CoRR, January, 2026

2025

Are LLMs Court-Ready? Evaluating Frontier Models on Indian Legal Reasoning.

Kush Juvekar, Arghya Bhattacharya, Sai Khadloya, Utkarsh Saxena

CoRR, October, 2025

Performance efficient vehicle detection and tracking based on pyramid pooling network: a review and implementation.

V. Premanand, P. Likith Sai, Arghya Bhattacharya

J. Comput. Soc. Sci., August, 2025

A Novel Framework to Estimate Truck Factor in Software Repositories Using Dynamic Knowledge Decay Model.

Arghya Bhattacharya, Samba Narayana Duggirala, Aditya Ramdas

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2025

2024

File System Aging.

Alex Conway, Ainesh Bakshi, Arghya Bhattacharya, Rory Bennett, Yizheng Jiao, Eric Knorr, Yang Zhan, Michael A. Bender, William Jannen, Rob Johnson, Bradley C. Kuszmaul, Donald E. Porter, Jun Yuan, Martin Farach-Colton

CoRR, 2024

A Framework for Realistic Paired Dataset Generation for Deep Learning Based Restoration of Satellite Images.

Ashutosh Gupta, Subhajit Paul, Arghya Bhattacharya, Prachi Jain

Proceedings of the IGARSS 2024, 2024

2023

k-degree-of-freedom uncertain Ellsberg urn problem.

Arghya Bhattacharya

Soft Comput., June, 2023

2022

Machine learning advised algorithms for the ski rental problem with a discount.

Arghya Bhattacharya, Rathish Das

Theor. Comput. Sci., 2022

Machine Learning Advised Ski Rental Problem with a Discount.

Arghya Bhattacharya, Rathish Das

Proceedings of the WALCOM: Algorithms and Computation, 2022

When Are Cache-Oblivious Algorithms Cache Adaptive? A Case Study of Matrix Multiplication and Sorting.

Arghya Bhattacharya, Abiyaz Chowdhury, Helen Xu, Rathish Das, Rezaul Alam Chowdhury, Rob Johnson, Rishab Nithyanand, Michael A. Bender

Proceedings of the 30th Annual European Symposium on Algorithms, 2022

2020

Leveraging Multilingual Resources for Language Invariant Sentiment Analysis.

Allen Antony, Arghya Bhattacharya, Jaipal Goud, Radhika Mamidi

Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

Finding The Right One and Resolving it.

Payal Khullar, Arghya Bhattacharya, Manish Shrivastava

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

2018

Edge-enhanced bi-dimensional empirical mode decomposition-based emotion recognition using fusion of feature set.

Arghya Bhattacharya, Dwaipayan Choudhury, Debangshu Dey

Soft Comput., 2018