Abstract: Neural operators are a class of neural networks to learn mappings between infinite-dimensional function spaces, and recent studies have shown that using neural operators to solve partial ...
Abstract: The differential equation-based image restoration approach aims to establish learnable trajectories connecting high-quality images to a tractable distribution, e.g., low-quality images or a ...
py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...
TITLE: The Rectangular 2D Cartesian Plane Framework of Curve Functions Involving Radius of Curvature—Nonlinear Differential Equations with Application to Regular Wedge Cam Design ...
This repository contains data and code relevant to analysis of human and mouse single-cell datasets presented in Hegde S., et al. Nature, in revision (2025). Accessing manuscript single-cell ...
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