Deep KKL: Data-driven Output Prediction for Non-Linear Systems

23 March 2021

Papers citing "Deep KKL: Data-driven Output Prediction for Non-Linear Systems"

6 / 6 papers shown

Title
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach Steeven Janny Hervé Poirier L. Antsfeld G. Bono G. Monaci Boris Chidlovskii Francesco Giuliari Alessio Del Bue Christian Wolf LM&Ro 53 0 0 11 Mar 2025
Learning Hybrid Dynamics Models With Simulator-Informed Latent States K. Ensinger Sebastian Ziesche Sebastian Trimpe 27 1 0 06 Sep 2023
Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs Mona Buisson-Fenet V. Morgenthaler Sebastian Trimpe F. D. Meglio 35 6 0 25 May 2022
Learning Reduced Nonlinear State-Space Models: an Output-Error Based Canonical Approach Steeven Janny Quentin Possamaï L. Bako Madiha Nadri Wolf Christian Wolf 9 2 0 19 Apr 2022
Learning to estimate UAV created turbulence from scene structure observed by onboard cameras Quentin Possamaï Steeven Janny Madiha Nadri Wolf L. Bako Christian Wolf 31 1 0 28 Mar 2022
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space Steeven Janny Fabien Baradel Natalia Neverova M. Nadri Greg Mori Christian Wolf CML 33 15 0 01 Feb 2022