July 01, 2019 conference-paper Open access Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems DOI: 10.23919/acc.2019.8815339 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 345 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Mori–Zwanzig latent space Koopman closure for nonlinear autoencoder 2025 Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences article Physics and Astronomy Model Reduction and Neural Networks Open access 6 citations Identification of MIMO Wiener-type Koopman models for data-driven model reduction using deep learning 2022 Computers & Chemical Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access cited by 1 patent 29 citations 2 results References 0