Saurabhsingh Rajput

According to our database, Saurabhsingh Rajput authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

DEFault++: Automated Fault Detection, Categorization, and Diagnosis for Transformer Architectures.

Sigma Jahan, Saurabhsingh Rajput, Tushar Sharma, Mohammad Masudur Rahman

CoRR, April, 2026

A Validated Taxonomy on Software Energy Smells.

Mohammad Javad Mehditabar, Saurabhsingh Rajput, Tushar Sharma

CoRR, April, 2026

CodeGreen: Towards Improving Precision and Portability in Software Energy Measurement.

Saurabhsingh Rajput, Tushar Sharma

CoRR, March, 2026

Energy Flow Graph: Modeling Software Energy Consumption.

Saurabhsingh Rajput, Tushar Sharma

CoRR, March, 2026

FlipFlop: A Static Analysis-based Energy Optimization Framework for GPU Kernels.

Saurabhsingh Rajput, Alexander Brandt, Vadim Elisseev, Tushar Sharma

CoRR, January, 2026

Tu(r)ning AI Green: Exploring Energy Efficiency Cascading With Orthogonal Optimizations.

Saurabhsingh Rajput, Mootez Saad, Tushar Sharma

IEEE Softw., 2026

2025

Smart but Costly? Benchmarking LLMs on Functional Accuracy and Energy Efficiency.

Mohammad Javad Mehditabar, Saurabhsingh Rajput, Antonio Mastropaolo, Tushar Sharma

CoRR, November, 2025

Taxonomy of Faults in Attention-Based Neural Networks.

Sigma Jahan, Saurabhsingh Rajput, Tushar Sharma, Mohammad Masudur Rahman

CoRR, August, 2025

COMET: Generating commit messages using delta graph context representation.

Abhinav Reddy Mandli, Saurabhsingh Rajput, Tushar Sharma

J. Syst. Softw., 2025

2024

Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement.

Saurabhsingh Rajput, Tim Widmayer, Ziyuan Shang, Maria Kechagia, Federica Sarro, Tushar Sharma

ACM Trans. Softw. Eng. Methodol., November, 2024

Greenlight: Highlighting TensorFlow APIs Energy Footprint.

Saurabhsingh Rajput, Maria Kechagia, Federica Sarro, Tushar Sharma

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Benchmarking Emerging Deep Learning Quantization Methods for Energy Efficiency.

Saurabhsingh Rajput, Tushar Sharma

Proceedings of the 21st IEEE International Conference on Software Architecture, 2024

2023

FECoM: A Step towards Fine-Grained Energy Measurement for Deep Learning.

Saurabhsingh Rajput, Tim Widmayer, Ziyuan Shang, Maria Kechagia, Federica Sarro, Tushar Sharma

CoRR, 2023