Shyam Sankaran

According to our database, Shyam Sankaran authored at least 8 papers between 2019 and 2026.

Collaborative distances:

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

2026

Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers.

Shyam Sankaran, Hanwen Wang, Paris Perdikaris

CoRR, May, 2026

2025

Simulating Three-dimensional Turbulence with Physics-informed Neural Networks.

Sifan Wang, Shyam Sankaran, Panos Stinis, Paris Perdikaris

CoRR, July, 2025

CViT: Continuous Vision Transformer for Operator Learning.

Sifan Wang, Jacob H. Seidman, Shyam Sankaran, Hanwen Wang, George J. Pappas, Paris Perdikaris

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials.

Sifan Wang, Tong-Rui Liu, Shyam Sankaran, Paris Perdikaris

CoRR, 2024

Bridging Operator Learning and Conditioned Neural Fields: A Unifying Perspective.

Sifan Wang, Jacob H. Seidman, Shyam Sankaran, Hanwen Wang, George J. Pappas, Paris Perdikaris

CoRR, 2024

2023

An Expert's Guide to Training Physics-informed Neural Networks.

Sifan Wang, Shyam Sankaran, Hanwen Wang, Paris Perdikaris

CoRR, 2023

2022

Respecting causality is all you need for training physics-informed neural networks.

Sifan Wang, Shyam Sankaran, Paris Perdikaris

CoRR, 2022

2019

HODLRlib: A Library for Hierarchical Matrices.

Sivaram Ambikasaran, Karan Singh, Shyam Sankaran

J. Open Source Softw., 2019