3 citations · 5 across the 2 of their papers we have counts for
3 papers
physics.flu-dyn2023★ 3 cited
RONAALP: Reduced-Order Nonlinear Approximation with Active Learning Procedure
Clément Scherding, Georgios Rigas, Denis Sipp +2
Many engineering applications rely on the evaluation of expensive, non-linear high-dimensional functions. In this paper, we propose the RONAALP algorithm (Reduced Order Nonlinear A…
cs.LG2023★ 2 cited
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
Priyam Gupta, Peter J. Schmid, Denis Sipp +2
The Koopman operator presents an attractive approach to achieve global linearization of nonlinear systems, making it a valuable method for simplifying the understanding of complex…
physics.flu-dyn2021
Symmetry-Aware Autoencoders: s-PCA and s-nlPCA
Simon Kneer, Taraneh Sayadi, Denis Sipp +2
Nonlinear principal component analysis (NLPCA) via autoencoders has attracted attention in the dynamical systems community due to its larger compression rate when compared to linea…