Shankar, Varun

5 publications

TMLR 2026 Kernel Neural Operators (KNOs) for Scalable, Memory-Efficient, Geometrically-Flexible Operator Learning Matthew Lowery, John Turnage, Zachary Morrow, John Davis Jakeman, Akil Narayan, Shandian Zhe, Varun Shankar

TMLR 2025 Ensemble and Mixture-of-Experts DeepONets for Operator Learning Ramansh Sharma, Varun Shankar

TMLR 2025 Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases Madison Cooley, Varun Shankar, Mike Kirby, Shandian Zhe

TMLR 2025 HyResPINNs: A Hybrid Residual Physics-Informed Neural Network Architecture Designed to Balance Expressiveness and Trainability Madison Cooley, Mike Kirby, Shandian Zhe, Varun Shankar

NeurIPS 2022 Accelerated Training of Physics-Informed Neural Networks (PINNs) Using Meshless Discretizations Ramansh Sharma, Varun Shankar