Nishath Rajiv Ranasinghe

According to our database, Nishath Rajiv Ranasinghe authored at least 7 papers between 2020 and 2025.

Collaborative distances:

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

2025

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

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

CoRR, July, 2025

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

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

CoRR, May, 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

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