Shivam Barwey - RankMe

13 papers Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models. CoRR Riddhiman Raut, Romit Maulik, Shivam Barwey
2025	J	`jnl`	Mesh-based Super-resolution of Detonation Flows with Multiscale Graph Transformers. CoRR Shivam Barwey, Pinaki Pal
2024	J	`jnl`	A note on the error analysis of data-driven closure models for large eddy simulations of turbulence. CoRR Dibyajyoti Chakraborty, Shivam Barwey, Hong Zhang, Romit Maulik
2024	J	`jnl`	Jacobian-scaled K-means clustering for physics-informed segmentation of reacting flows. J. Comput. Phys. Shivam Barwey, Venkat Raman
2024	J	`jnl`	Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks. CoRR Shivam Barwey, Pinaki Pal, Saumil Patel, Riccardo Balin, Bethany Lusch, Venkatram Vishwanath, Romit Maulik, Ramesh Balakrishnan
2024	—	`conf`	Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling. SC Workshops Shivam Barwey, Riccardo Balin, Bethany Lusch, Saumil Patel, Ramesh Balakrishnan, Pinaki Pal, Romit Maulik, Venkatram Vishwanath
2024	J	`jnl`	Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling. CoRR Shivam Barwey, Riccardo Balin, Bethany Lusch, Saumil Patel, Ramesh Balakrishnan, Pinaki Pal, Romit Maulik, Venkatram Vishwanath
2023	J	`jnl`	Importance of equivariant and invariant symmetries for fluid flow modeling. CoRR Varun Shankar, Shivam Barwey, Zico Kolter, Romit Maulik, Venkatasubramanian Viswanathan
2023	J	`jnl`	Interpretable Fine-Tuning for Graph Neural Network Surrogate Models. CoRR Shivam Barwey, Romit Maulik
2023	J	`jnl`	Jacobian-Scaled K-means Clustering for Physics-Informed Segmentation of Reacting Flows. CoRR Shivam Barwey, Venkat Raman
2023	J	`jnl`	Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning. CoRR Shivam Barwey, Varun Shankar, Venkatasubramanian Viswanathan, Romit Maulik
2023	J	`jnl`	Multiscale graph neural network autoencoders for interpretable scientific machine learning. J. Comput. Phys. Shivam Barwey, Varun Shankar, Venkatasubramanian Viswanathan, Romit Maulik
2019	J	`jnl`	Using machine learning to construct velocity fields from OH-PLIF images. CoRR Shivam Barwey, Malik Hassanaly, Venkat Raman, Adam Steinberg