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Deterministic Neural Stochastic Differential Equations

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Bidimensional Moment Matching for NSDEs

This is the companion code for the NSDE training method reported in A Deterministic Approximation to Neural SDEs by Andreas Look et al., IEEE TPAMI 2022.

Reproducing results

This code contains a tutorial like jupyter notebook. After running it, a similar image as below should be produced. The image shows ground truth mean (black solid line) and covariance (black dashed line) of the stochastic Lotka-Volterra dynamics. The blue solid is the learned mean and the blue shaded are is the learned covariance.

NSDE Demo

Purpose of the project

This software is a research prototype, solely developed for and published as part of the publication cited above. It will neither be maintained nor monitored in any way.

License

This project is open-sourced under the AGPL-3.0 license. See the LICENSE file for details.

For a list of other open source components included in this project, see the file 3rd-party-licenses.txt.

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