Search Results for author: Dylan Randle

Found 2 papers, 2 papers with code

Date Published Github Stars

DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks

1 code implementation • 15 Sep 2022 • Blake Bullwinkel, Dylan Randle, Pavlos Protopapas, David Sondak

Solutions to differential equations are of significant scientific and engineering relevance.

11
Paper
Code

Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks

1 code implementation • 21 Jul 2020 • Dylan Randle, Pavlos Protopapas, David Sondak

This work develops a novel method for solving differential equations with unsupervised neural networks that applies Generative Adversarial Networks (GANs) to \emph{learn the loss function} for optimizing the neural network.

11
Paper
Code
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