Nov 10, 2023 · We show that the quality of reduced data representations can be significantly improved by informing data projections by target quantities of interest (QoIs).

Oct 10, 2023 · We find that nonlinear decoding of projection-dependent QoIs, when embedded in a dimensionality reduction technique, promotes improved low-dimensional ...

The MSE loss is measured for the 90% train set. We compare two scenarios: when projection-dependent QoI are included at the decoder output and when they are not.

Improving reduced-order models through nonlinear decoding of projection-dependent outputs · List of references · Publications that cite this publication.

Code and materials for the paper "Improving reduced-order models through nonlinear decoding of projection-dependent outputs".

The effect of projection topology on a reduced-order model. Improving reduced-order models through nonlinear decoding of projection-dependent outputs. Article.

Nov 27, 2023 · Recently developed reduced-order modeling techniques aim to approximate nonlinear dynamical systems on low-dimensional manifolds learned ...

Nov 10, 2023 · Improving reduced-order models through nonlinear decoding of projection-dependent outputs ... Effective dimensionality reduction is crucial in the ...

Jul 3, 2023 · We describe an update to our open-source Python package, PCAfold, designed to help researchers generate, analyze and improve low-dimensional data manifolds.

Jul 22, 2024 · In this manuscript, we combine non-intrusive reduced-order models (ROMs) with space-dependent aggregation techniques to build a mixed-ROM.