3 papers
cs.LG2024
Parametric Encoding with Attention and Convolution Mitigate Spectral Bias of Neural Partial Differential Equation Solvers
Mehdi Shishehbor, Shirin Hosseinmardi, Ramin Bostanabad
Deep neural networks (DNNs) are increasingly used to solve partial differential equations (PDEs) that naturally arise while modeling a wide range of systems and physical phenomena.…
cs.LG2023
GP+: A Python Library for Kernel-based learning via Gaussian Processes
Amin Yousefpour, Zahra Zanjani Foumani, Mehdi Shishehbor +2
In this paper we introduce GP+, an open-source library for kernel-based learning via Gaussian processes (GPs) which are powerful statistical models that are completely characterize…
cs.LG2023
On the Effects of Heterogeneous Errors on Multi-fidelity Bayesian Optimization
Zahra Zanjani Foumani, Amin Yousefpour, Mehdi Shishehbor +1
Bayesian optimization (BO) is a sequential optimization strategy that is increasingly employed in a wide range of areas including materials design. In real world applications, acqu…