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katiana22 authored May 8, 2023
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## General info

This Git repository contains python codes for implementing the Latent DeepONet model proposed here:
Latent DeepONet leverages auroencoder models with the operator regressor DeepONet, to learn operators on latent spaces by leveraging the intrinsic dimensionality of physics-based data.
This Git repository contains python codes for implementing the Latent DeepONet model proposed here: https://arxiv.org/abs/2304.07599.
Latent DeepONet employs auroencoder models with the operator regressor DeepONet, to learn operators in latent spaces by leveraging the intrinsic dimensionality of physics-based data.

The code has the following capabilities:
* Perform operator regression for PDE problems of very high dimensionality (e.g., high-dimensional time-dependent PDEs)
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