Neural Networks with Kernel-Weighted Corrective Residuals for Solving Partial Differential Equations. - Carlos Mora; Amin Yousefpour; Shirin Hosseinmardi; Ramin Bostanabad (CoRR, 2024)

Parametric Encoding with Attention and Convolution Mitigate Spectral Bias of Neural Partial Differential Equation Solvers. - Mehdi Shishehbor; Shirin Hosseinmardi; Ramin Bostanabad (CoRR, 2024)

Simultaneous and Meshfree Topology Optimization with Physics-informed Gaussian Processes. - Amin Yousefpour; Shirin Hosseinmardi; Carlos Mora; Ramin Bostanabad (CoRR, 2024)

Operator Learning with Gaussian Processes. - Carlos Mora; Amin Yousefpour; Shirin Hosseinmardi; Houman Owhadi; Ramin Bostanabad (CoRR, 2024)

Localized Physics-informed Gaussian Processes with Curriculum Training for Topology Optimization. - Amin Yousefpour; Shirin Hosseinmardi; Xiangyu Sun; Ramin Bostanabad (CoRR, 2025)

Learning Mappings in Mesh-based Simulations. - Shirin Hosseinmardi; Ramin Bostanabad (CoRR, 2025)

Compliance Minimization via Physics-Informed Gaussian Processes. - Xiangyu Sun; Amin Yousefpour; Shirin Hosseinmardi; Ramin Bostanabad (CoRR, 2025)