This repo contains the JAX implementation of our ICLR 2024 paper, Neural Spectral Methods: Self-supervised learning in the spectral domain. Yiheng Du, Nithin ...
Abstract: Automatic identification of object of interest in a hyperspectral imagery is promising for remote sensing applications. Spectral knowledge transfer enables autonomous comparison of reference ...
This project was performed to practice a common approach to using the Spectral Method with the fourier Galerkin approach to solving PDE's. Specifically, we'll be ...
Abstract: The Tetrahedral Spectral Element Method (TSEM) integrates the strengths of spectral methods and finite element methodologies, proving exceptionally effective in addressing partial ...
ABSTRACT: Chebyshev spectral elements are applied to dissipation analysis of pore-pressure of roller compaction earth-rockfilled dams (ERD) during their construction. Nevertheless, the conventional ...
ABSTRACT: Reaction-diffusion equations modeling Predator-Prey interaction are of current interest. Standard approaches such as first-order (in time) finite difference schemes for approximating the ...
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