IEEE

Dual ODE: Spatial–Spectral Neural Ordinary Differential Equations for Hyperspectral Image Super-Resolution

Abstract: Significant advancements have been made in hyperspectral image (HSI) super-resolution with the development of deep-learning techniques. However, the current application of deep neural ...
GitHub

DifferentialEquations.jl

The well-optimized DifferentialEquations solvers benchmark as some of the fastest implementations of classic algorithms. It also includes algorithms from recent research which routinely outperform the ...
archive

Differential equations, with applications and historical notes

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...
IEEE

Solution to Forward–Backward Stochastic Differential Equations With Random Coefficients and Application to Deterministic Optimal Control

Abstract: We address forward–backward stochastic differential equations (FBSDEs) with random coefficients. Differently from previous approaches, we consider FBSDEs with coefficients that are random ...
marktechpost

A Coding Guide to Implement Advanced Differential Equation Solvers, Stochastic Simulations, and Neural Ordinary Differential Equations Using Diffrax and JAX

In this tutorial, we explore how to solve differential equations and build neural differential equation models using the Diffrax library. We begin by setting up a clean computational environment and ...