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Fast Training of Neural ODEs by areepadhaikarlothoda69420 is a document available to read on EtoBox.
What is Fast Training of Neural ODEs about?
This document discusses a method for training Neural Ordinary Differential Equations (Neural ODEs) using simultaneous optimization techniques to reduce computational costs associated with traditional training. The authors propose a collocation-based, fully discretized approach that utilizes IPOPT for optimizing collocation coefficients and neural network parameters, demonstrating faster convergence through a case study on the Van der Pol Oscillator. Additionally, a decomposition framework using the Alternat
- Author
- areepadhaikarlothoda69420
- Language
- EN