Vikas Dwivedi

According to our database, Vikas Dwivedi authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

Meta-Learned Basis Adaptation for Parametric Linear PDEs.

Vikas Dwivedi, Monica Sigovan, Bruno Sixou

CoRR, April, 2026

Soft Partition-based KAPI-ELM for Multi-Scale PDEs.

Vikas Dwivedi, Monica Sigovan, Bruno Sixou

CoRR, January, 2026

Gated X-TFC: Soft domain decomposition for forward and inverse problems in sharp-gradient PDEs.

Vikas Dwivedi, Enrico Schiassi, Bruno Sixou, Monica Sigovan

Neurocomputing, 2026

2025

Deep vs. Shallow: Benchmarking Physics-Informed Neural Architectures on the Biharmonic Equation.

Akshay Govind Srinivasan, Vikas Dwivedi, Balaji Srinivasan

CoRR, October, 2025

Towards Fast Option Pricing PDE Solvers Powered by PIELM.

Akshay Govind Srinivasan, Anuj Jagannath Said, Sathwik Pentela, Vikas Dwivedi, Balaji Srinivasan

CoRR, October, 2025

Kernel-Adaptive PI-ELMs for Forward and Inverse Problems in PDEs with Sharp Gradients.

Vikas Dwivedi, Balaji Srinivasan, Monica Sigovan, Bruno Sixou

CoRR, July, 2025

Curriculum learning-driven PIELMs for fluid flow simulations.

Vikas Dwivedi, Bruno Sixou, Monica Sigovan

Neurocomputing, 2025

Towards Sustainable Scientific Machine Learning: Fast and interpretable PDE Solvers via RBF-PIELM.

Akshay Govind Srinivasan, Vikas Dwivedi, Balaji Srinivasan

Proceedings of the 13th ACM IKDD International Conference on Data Science, 2025

2024

Global Versus Local: Evaluating AlexNet Architectures for Tropical Cyclone Intensity Estimation.

Vikas Dwivedi

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation.

Vikas Dwivedi, Balaji Srinivasan, Ganapathy Krishnamurthi

CoRR, 2023

2022

A Normal Equation-Based Extreme Learning Machine for Solving Linear Partial Differential Equations.

Vikas Dwivedi, Balaji Srinivasan

J. Comput. Inf. Sci. Eng., 2022

2021

One country's journey to interoperability: Tanzania's experience developing and implementing a national health information exchange.

Alpha Nsaghurwe, Vikas Dwivedi, Walter Ndesanjo, Haji Bamsi, Moses Busiga, Edwin Nyella, Japhet Victor Massawe, Dasha Smith, Kate Onyejekwe, Jonathan Metzger, Patricia Taylor

BMC Medical Informatics Decis. Mak., 2021

Distributed learning machines for solving forward and inverse problems in partial differential equations.

Vikas Dwivedi, Nishant Parashar, Balaji Srinivasan

Neurocomputing, 2021

Numerical Approximation in CFD Problems Using Physics Informed Machine Learning.

Siddharth Rout, Vikas Dwivedi, Balaji Srinivasan

CoRR, 2021

2020

Solution of Biharmonic Equation in Complicated Geometries With Physics Informed Extreme Learning Machine.

Vikas Dwivedi, Balaji Srinivasan

J. Comput. Inf. Sci. Eng., 2020

Physics Informed Extreme Learning Machine (PIELM)-A rapid method for the numerical solution of partial differential equations.

Vikas Dwivedi, Balaji Srinivasan

Neurocomputing, 2020

2019

Distributed physics informed neural network for data-efficient solution to partial differential equations.

Vikas Dwivedi, Nishant Parashar, Balaji Srinivasan

CoRR, 2019