Deep Learning Enhanced Dynamic Mode Decomposition

10 August 2021

Papers citing "Deep Learning Enhanced Dynamic Mode Decomposition"

10 / 10 papers shown

Title
Forecasting Local Ionospheric Parameters Using Transformers D. J. Alford-Lago C. Curtis Alexander T. Ihler Katherine A. Zawdie Douglas P. Drob 67 0 0 24 Feb 2025
Entropic Regression DMD (ERDMD) Discovers Informative Sparse and Nonuniformly Time Delayed Models Christopher W. Curtis Erik Bollt D. J. Alford-Lago 24 0 0 17 Jun 2024
Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with Automatic Differentiation: Koopman and Neural ODE Approaches Ricardo Constante-Amores Alec J. Linot Michael D. Graham 24 10 0 10 Oct 2023
Why should autoencoders work? Matthew D. Kvalheim E.D. Sontag 21 0 0 03 Oct 2023
Koopman operator learning using invertible neural networks Yuhuang Meng Jian-Kai Huang Yue Qiu 13 12 0 30 Jun 2023
Machine Learning Enhanced Hankel Dynamic-Mode Decomposition Chris Curtis D. J. Alford-Lago Erik Bollt Andrew Tuma 17 9 0 11 Mar 2023
Koopman neural operator as a mesh-free solver of non-linear partial differential equations Wei Xiong Xiaomeng Huang Ziyang Zhang Ruixuan Deng Pei Sun Yang Tian AI4CE 17 31 0 24 Jan 2023
KoopmanLab: machine learning for solving complex physics equations Wei Xiong Muyuan Ma Xiaomeng Huang Ziyang Zhang Pei Sun Yang Tian AI4CE 24 13 0 03 Jan 2023
DLKoopman: A deep learning software package for Koopman theory Sourya Dey Eric K. Davis AI4CE 16 3 0 15 Nov 2022
Quaternion-based dynamic mode decomposition for background modeling in color videos Juan Han K. Kou Jifei Miao 6 6 0 28 Dec 2021