Jul 15, 2023 · We introduce a data-driven approach to building reduced dynamical models through manifold learning; the reduced latent space is discovered ...

Apr 26, 2022 · We introduce a data-driven approach to building reduced dynamical models through manifold learning; the reduced latent space is discovered using ...

a function space basis that we call Latent Harmonics (Ψ) by operating only on the leading non-harmonic eigenvectors,. Figure 2. ... through Algorithm 2on Φthrough ...

Apr 5, 2023 · In this work, we introduce a data-driven approach to building reduced dynamical models through manifold learning; the reduced latent space ...

Semantic Scholar extracted view of "Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space" by N. Evangelou et al.

May 5, 2022 · We introduce a data-driven approach to building reduced dynamical models through manifold learning; the reduced latent space is discovered ...

Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space ... Authors: Nikolaos Evangelou; Felix Dietrich; Eliodoro Chiavazzo ...

Dive into the research topics of 'Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space'. Together they form a unique ...

Apr 5, 2023 · We introduce a data-driven approach to building reduced dynamical models through manifold learning; the reduced latent space is discovered ...

Apr 7, 2023 · I am excited to announce the publication of one of my PhD projects, where we introduce a data-driven approach to building reduced dynamical ...