Nishath Rajiv Ranasinghe

According to our database, Nishath Rajiv Ranasinghe authored at least 9 papers between 2020 and 2026.

Collaborative distances:

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

2026

Rubric-Grounded RL: Structured Judge Rewards for Generalizable Reasoning.

Manish Bhattarai, Ismael Boureima, Nishath Rajiv Ranasinghe, Scott Pakin, Dan O'Malley

CoRR, May, 2026

VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization.

Ayan Biswas, Terece L. Turton, Nishath Rajiv Ranasinghe, Shawn M. Jones, Bradley C. Love, William M. Jones, Aric A. Hagberg, Han-Wei Shen, Nathan DeBardeleben, Earl Lawrence

IEEE Trans. Vis. Comput. Graph., January, 2026

2025

LLM-Assisted Translation of Legacy FORTRAN Codes to C++: A Cross-Platform Study.

Nishath Rajiv Ranasinghe, Shawn M. Jones, Michal Kucer, Ayan Biswas, Daniel O'Malley, Alexander Most, Selma Liliane Wanna, Ajay Sreekumar

CoRR, April, 2025

Benchmarking Large Language Models with Integer Sequence Generation Tasks.

Daniel O'Malley, Manish Bhattarai, Nishath Rajiv Ranasinghe, Erick Draayer, Javier E. Santos

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Lost in OCR Translation? Vision-Based Approaches to Robust Document Retrieval.

Alexander Most, Joseph Winjum, Manish Bhattarai, Shawn M. Jones, Nishath Rajiv Ranasinghe, Ayan Biswas, Dan O'Malley

Proceedings of the 2025 ACM Symposium on Document Engineering, 2025

2021

Effects of Nonlinearity and Network Architecture on the Performance of Supervised Neural Networks.

Nalinda Kulathunga, Nishath Rajiv Ranasinghe, Daniel Vrinceanu, Zackary Kinsman, Lei Huang, Yunjiao Wang

Algorithms, 2021

Discovering Nonlinear Dynamics Through Scientific Machine Learning.

Lei Huang, Daniel Vrinceanu, Yunjiao Wang, Nalinda Kulathunga, Nishath Rajiv Ranasinghe

Proceedings of the Intelligent Systems and Applications, 2021

2020

Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models.

Nalinda Kulathunga, Nishath Rajiv Ranasinghe, Daniel Vrinceanu, Zackary Kinsman, Lei Huang, Yunjiao Wang

CoRR, 2020

Improving Seismic Wave Simulation and Inversion Using Deep Learning.

Lei Huang, Edward Clee, Nishath Rajiv Ranasinghe

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020