Author

Michiel Nikken

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Preprint Sep 2026

Spatio-temporal Latent Denoising Diffusion Probabilistic Models for Reduced-order Modeling of Parametrized Dynamical Systems

This work proposes a non-intrusive MOR method using generative machine learning by means of denoising diffusion probabilistic models (DDPMs) for generating solutions of the dynamical systems under different instances of their parameters to improve quality and temporal coherence.

Michiel Nikken, Nicolò Botteghi, Federico Califano et al. · 0 citations