Raghav Gnanasambandam

According to our database, Raghav Gnanasambandam authored at least 7 papers between 2022 and 2026.

Collaborative distances:

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

2026

Precise Robot Command Understanding Using Grammar-Constrained Large Language Models.

Xinyun Huo, Raghav Gnanasambandam, Xinyao Zhang

CoRR, April, 2026

Geometry-Aware Physics Informed Point Net (GeoPIPN) for Fast Thermal Distribution Prediction in Additive Manufacturing of Unseen Part Geometries.

Amirul Islam Saimon, Raghav Gnanasambandam, Zhenyu James Kong

IEEE Trans Autom. Sci. Eng., 2026

Coupled Physics-Informed Neural Network for Multi-Physics Modeling in Additive Friction Stir Deposition.

Raghav Gnanasambandam, Nikhil Gotawala, Xiaofeng Wu, Benjamin Standfield, Chaoran Dou, Hang Z. Yu, Jian Yu, Zhenyu James Kong

IEEE Trans Autom. Sci. Eng., 2026

2024

Neural Operator for Accelerating Coronal Magnetic Field Model.

Yutao Du, Qin Li, Raghav Gnanasambandam, Mengnan Du, Haimin Wang, Bo Shen

CoRR, 2024

Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field Model.

Yutao Du, Qin Li, Raghav Gnanasambandam, Mengnan Du, Haimin Wang, Bo Shen

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks.

Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu James Kong

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

2022

Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks.

Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu James Kong

CoRR, 2022