Kirby, Mike

6 publications

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

ICLR 2024 Functional Bayesian Tucker Decomposition for Continuous-Indexed Tensor Data Shikai Fang, Xin Yu, Zheng Wang, Shibo Li, Mike Kirby, Shandian Zhe

ICLR 2024 Solving High Frequency and Multi-Scale PDEs with Gaussian Processes Shikai Fang, Madison Cooley, Da Long, Shibo Li, Mike Kirby, Shandian Zhe

ICML 2023 Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe

NeurIPS 2023 Streaming Factor Trajectory Learning for Temporal Tensor Decomposition Shikai Fang, Xin Yu, Shibo Li, Zheng Wang, Mike Kirby, Shandian Zhe