Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
Are you still puzzled by all those tweets adorned with grids of gray, yellow, and green boxes? Or have you finally tried Wordle? The daily word puzzle that's become a viral sensation thanks to its ...
Abstract: Accurate modeling is an important aspect for a reliable design, control and optimization of proton exchange membrane (PEM) fuel cell. The mathematical model of PEM fuel cell involves a set ...
This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models". This paper has been accpeted by NeurIPS 2024 ...
MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...
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