Shivam Barwey

According to our database, Shivam Barwey authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models.

Riddhiman Raut, Romit Maulik, Shivam Barwey

CoRR, June, 2025

2024

Jacobian-scaled K-means clustering for physics-informed segmentation of reacting flows.

Shivam Barwey, Venkat Raman

J. Comput. Phys., 2024

Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks.

Shivam Barwey, Pinaki Pal, Saumil Patel, Riccardo Balin, Bethany Lusch, Venkatram Vishwanath, Romit Maulik, Ramesh Balakrishnan

CoRR, 2024

A note on the error analysis of data-driven closure models for large eddy simulations of turbulence.

Dibyajyoti Chakraborty, Shivam Barwey, Hong Zhang, Romit Maulik

CoRR, 2024

Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling.

Shivam Barwey, Riccardo Balin, Bethany Lusch, Saumil Patel, Ramesh Balakrishnan, Pinaki Pal, Romit Maulik, Venkatram Vishwanath

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

2023

Multiscale graph neural network autoencoders for interpretable scientific machine learning.

Shivam Barwey, Varun Shankar, Venkatasubramanian Viswanathan, Romit Maulik

J. Comput. Phys., December, 2023

Interpretable Fine-Tuning for Graph Neural Network Surrogate Models.

Shivam Barwey, Romit Maulik

CoRR, 2023

Importance of equivariant and invariant symmetries for fluid flow modeling.

Varun Shankar, Shivam Barwey, Zico Kolter, Romit Maulik, Venkatasubramanian Viswanathan

CoRR, 2023

2019

Using machine learning to construct velocity fields from OH-PLIF images.

Shivam Barwey, Malik Hassanaly, Venkat Raman, Adam Steinberg

CoRR, 2019