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@gd-vae

GD-VAE: Geometric Dynamic Variational Autoencoders

Codes for performing machine learning using the introduced Geometric Dynamic Variational Autoencoders.

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  1. gd-vae gd-vae Public

    Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold late…

    TeX 28 1

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  • gd-vae Public

    Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.

    TeX 28 GPL-2.0 1 0 0 Updated Aug 30, 2023

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