GD-VAE: Geometric Dynamic Variational Autoencoders

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gd-vae
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Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for st…
machine-learning deep-learning point-cloud
machine-learning deep-learning point-cloud neural-networks dynamical-systems manifold-learning dimension-reduction geometric-algorithms topological-data-analysis variational-autoencoder
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GNU General Public License v2.0
•2•37•0•0•Updated Apr 25, 2026Apr 25, 2026

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