Generative model latent spaces can reduce geometric parameter dimension and improve the accuracy and speed of reduced-order models for parametrized PDEs.
Journal of Scientific Computing, 94, 1-30 (2023)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.NA 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Generative Models for Parameter Space Reduction applied to Reduced Order Modelling
Generative model latent spaces can reduce geometric parameter dimension and improve the accuracy and speed of reduced-order models for parametrized PDEs.