arXiv Machine Learning June 17, 2026 By Andrew Gracyk

Variational autoencoders with latent high-dimensional steady geometric flows for dynamics

Read the original on arXiv Machine Learning →

arXiv:2410. 10137v5 Announce Type: replace Abstract: We develop Riemannian approaches to variational autoencoders (VAEs) for PDE-type ambient data with regularizing geometric latent dynamics, which we refer to as VAE-DLM, or VAEs with dynamical latent manifolds.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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