Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control

26 February 2019

Mykel J Kochenderfer

Papers citing "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control"

20 / 20 papers shown

Title
Automated Global Analysis of Experimental Dynamics through Low-Dimensional Linear Embeddings Samuel A. Moore B. Mann Boyuan Chen AI4CE 29 1 0 01 Nov 2024
Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulation Jungang Chen Eduardo Gildin John E. Killough 23 0 0 16 Sep 2024
LaPlaSS: Latent Space Planning for Stochastic Systems Marlyse Reeves Brian C. Williams 24 0 0 10 Apr 2024
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs Ilan Naiman N. Benjamin Erichson Pu Ren Lbnl Michael W. Mahoney ICSI Omri Azencot AI4TS 24 19 0 04 Oct 2023
Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection Neeloy Chakraborty Aamir Hasan Shuijing Liu Tianchen Ji Weihang Liang D. L. McPherson Katherine Driggs-Campbell 37 11 0 09 Jan 2023
Physics-Informed Koopman Network Yuying Liu A. Sholokhov Hassan Mansour S. Nabi AI4CE 31 3 0 17 Nov 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan Ö. Arik Rose Yu AI4TS 39 24 0 07 Oct 2022
Learning continuous models for continuous physics Aditi S. Krishnapriyan A. Queiruga N. Benjamin Erichson Michael W. Mahoney AI4CE 32 33 0 17 Feb 2022
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics Matthias Weissenbacher Samarth Sinha Animesh Garg Yoshinobu Kawahara OffRL 30 20 0 02 Nov 2021
Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective Armand Comas Massague S. Ghimire Haolin Li Octavia Camps Mario Sznaier 27 2 0 01 Oct 2021
Paradigm Shift Through the Integration of Physical Methodology and Data Science T. Miyamoto AI4CE 17 0 0 30 Sep 2021
Stochastic Adversarial Koopman Model for Dynamical Systems K. Balakrishnan Devesh Upadhyay 19 8 0 10 Sep 2021
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels Yongqian Xiao Xin Xu Yifei Shi 16 9 0 19 Feb 2021
A Differential Geometry Perspective on Orthogonal Recurrent Models Omri Azencot N. Benjamin Erichson M. Ben-Chen Michael W. Mahoney AI4CE 13 5 0 18 Feb 2021
Noisy Recurrent Neural Networks S. H. Lim N. Benjamin Erichson Liam Hodgkinson Michael W. Mahoney 14 52 0 09 Feb 2021
Deep Adversarial Koopman Model for Reaction-Diffusion systems K. Balakrishnan Devesh Upadhyay 13 5 0 09 Jun 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 91 387 0 10 Mar 2020
Forecasting Sequential Data using Consistent Koopman Autoencoders Omri Azencot N. Benjamin Erichson Vanessa Lin Michael W. Mahoney AI4TS AI4CE 24 141 0 04 Mar 2020
Learning Compositional Koopman Operators for Model-Based Control Yunzhu Li Hao He Jiajun Wu Dina Katabi Antonio Torralba 21 111 0 18 Oct 2019
Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability Shaowu Pan Karthik Duraisamy 23 136 0 09 Jun 2019