Shantanu Kumar

According to our database, Shantanu Kumar authored at least 11 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Machine Learning-Driven Volumetric Cloud Rendering: Procedural Shader Optimization and Dynamic Lighting in Unreal Engine for Realistic Atmospheric Simulation.

Shruti Singh, Shantanu Kumar

CoRR, February, 2025

Efficient Distributed Training through Gradient Compression with Sparsification and Quantization Techniques.

Shruti Singh, Shantanu Kumar

CoRR, February, 2025

Leveraging Cloud Resources for Distributed Training of Residual CNNs in Aerial Image Classification.

Shantanu Kumar, Shruti Singh, Narendra Kumar Dewangan

IEEE Access, 2025

Fooling the Forgers: A Multi-Stage Framework for Audio Deepfake Detection.

Gautam Siddharth Kashyap, Zohaib Hasan Siddiqui, Mohammad Anas Azeez, Rafiq Ali, Shantanu Kumar, Navin Kamuni, Jiechao Gao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Mixture-of-Personas Language Models for Population Simulation.

Ngoc Bui, Hieu Trung Nguyen, Shantanu Kumar, Julian Theodore, Weikang Qiu, Viet Anh Nguyen, Rex Ying

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Fine-Tuning Llama 3 for Sentiment Analysis: Leveraging AWS Cloud for Enhanced Performance.

Shantanu Kumar, Shruti Singh

SN Comput. Sci., December, 2024

Dynamic Feature Scaling in Time Series Forecasting: A Hybrid Machine Learning Framework for Electricity Pricing.

Shantanu Kumar

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Adaptive Fusion-Enhanced CNN Architectures for Advanced Image Classification in E-Commerce.

Shantanu Kumar

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Enhanced Fraud Detection in Financial Transactions Using Hyperparameter-Tuned Random Forests.

Shantanu Kumar

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2020

Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi.

Rajesh Kumar Mundotiya, Shantanu Kumar, Ajeet Kumar, Umesh Chandra Chaudhary, Supriya Chauhan, Swasti Mishra, Praveen Gatla, Anil Kumar Singh

CoRR, 2020

2017

A Survey of Deep Learning Methods for Relation Extraction.

Shantanu Kumar

CoRR, 2017