Hemanth Chandravamsi

According to our database, Hemanth Chandravamsi authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2026

Quantum physics-informed neural networks for Maxwell's equations: circuit design, "black hole" barren plateaus mitigation, and GPU acceleration.

Ziv Chen, Gal G. Shaviner, Hemanth Chandravamsi, Shimon Pisnoy, Steven H. Frankel, Uzi Pereg

Quantum Mach. Intell., June, 2026

PINNACLE: An Open-Source Computational Framework for Classical and Quantum PINNs.

Shimon Pisnoy, Hemanth Chandravamsi, Ziv Chen, Aaron Goldgewert, Gal G. Shaviner, Boris Shragner, Steven H. Frankel

CoRR, April, 2026

2025

PINNs for solving unsteady Maxwell's equations: convergence issues and comparative assessment with compact schemes.

Gal G. Shaviner, Hemanth Chandravamsi, Shimon Pisnoy, Ziv Chen, Steven H. Frankel

Neural Comput. Appl., October, 2025

Improving Accuracy and Efficiency of Implicit Neural Representations: Making SIREN a WINNER.

Hemanth Chandravamsi, Dhanush V. Shenoy, Steven H. Frankel

CoRR, September, 2025

Spectral Bottleneck in Deep Neural Networks: Noise is All You Need.

Hemanth Chandravamsi, Dhanush V. Shenoy, Itay Zinn, Shimon Pisnoy, Steven H. Frankel

CoRR, September, 2025

Deep Learning vs. Black-Scholes: Option Pricing Performance on Brazilian Petrobras Stocks.

Joao Felipe Gueiros, Hemanth Chandravamsi, Steven H. Frankel

CoRR, April, 2025

2024

High resolution optimized high-order schemes for discretization of non-linear straight and mixed second derivative terms.

Hemanth Chandravamsi, Steven H. Frankel

J. Comput. Phys., 2024

2023

Low Dispersion Optimized High-Order Schemes for Discretization of Non-Linear Straight and Mixed Second Derivative Terms.

Hemanth Chandravamsi, Steven H. Frankel

CoRR, 2023