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

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

23 March 2021

Madiha Nadri Wolf

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

13 / 13 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 135 0 0 11 Mar 2025
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting Yuan Yin Vincent Le Guen Jérémie Donà Emmanuel de Bézenac Ibrahim Ayed Nicolas Thome Patrick Gallinari AI4CE PINN 64 134 0 09 Oct 2020
EgoMap: Projective mapping and structured egocentric memory for Deep RL E. Beeching Christian Wolf J. Dibangoye Olivier Simonin EgoV 47 27 0 24 Jan 2020
Visual Reaction: Learning to Play Catch with Your Drone Kuo-Hao Zeng Roozbeh Mottaghi Luca Weihs Ali Farhadi 48 14 0 04 Dec 2019
CoPhy: Counterfactual Learning of Physical Dynamics Fabien Baradel Natalia Neverova J. Mille Greg Mori Christian Wolf CML AI4CE 82 97 0 26 Sep 2019
A survey on intrinsic motivation in reinforcement learning A. Aubret L. Matignon S. Hassas AI4CE 68 144 0 19 Aug 2019
Neural Lander: Stable Drone Landing Control using Learned Dynamics Guanya Shi Xichen Shi Michael O'Connell Rose Yu Kamyar Azizzadenesheli Anima Anandkumar Yisong Yue Soon-Jo Chung 89 274 0 19 Nov 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 75 527 0 28 May 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 67 1,245 0 27 Dec 2017
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge Emmanuel de Bézenac Arthur Pajot Patrick Gallinari PINN AI4CE 83 318 0 21 Nov 2017
The Expressive Power of Neural Networks: A View from the Width Zhou Lu Hongming Pu Feicheng Wang Zhiqiang Hu Liwei Wang 94 892 0 08 Sep 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 175 1,216 0 26 Jun 2017
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 798 23,310 0 03 Jun 2014