Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems

22 August 2017

Papers citing "Learning Deep Neural Network Representations for Koopman Operators of Nonlinear Dynamical Systems"

11 / 11 papers shown

Title
Deep Neural Koopman Operator-based Economic Model Predictive Control of Shipboard Carbon Capture System Minghao Han Xunyuan Yin 74 0 0 09 Apr 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Xuyang Li Romit Maulik 97 0 0 21 Feb 2025
Koopman Operators in Robot Learning Lu Shi Masih Haseli Giorgos Mamakoukas Daniel Bruder Ian Abraham Todd Murphey Jorge Cortes Konstantinos Karydis AI4CE 73 7 0 08 Aug 2024
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder Priyam Gupta Peter J. Schmid D. Sipp T. Sayadi Georgios Rigas 70 5 0 16 Oct 2023
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 71 1,250 0 27 Dec 2017
Linearly-Recurrent Autoencoder Networks for Learning Dynamics Samuel E. Otto C. Rowley AI4CE 42 325 0 04 Dec 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition Naoya Takeishi Yoshinobu Kawahara Takehisa Yairi 46 370 0 12 Oct 2017
Low-Rank Dynamic Mode Decomposition: An Exact and Tractable Solution P. Héas Cédric Herzet 125 11 0 10 Oct 2016
On the Expressive Power of Deep Neural Networks M. Raghu Ben Poole Jon M. Kleinberg Surya Ganguli Jascha Narain Sohl-Dickstein 61 788 0 16 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Better Mixing via Deep Representations Yoshua Bengio Grégoire Mesnil Yann N. Dauphin Salah Rifai 81 341 0 18 Jul 2012