Learning-based Design of Luenberger Observers for Autonomous Nonlinear
Systems

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Learning-based Design of Luenberger Observers for Autonomous Nonlinear Systems

4 October 2022

Muhammad Umar B. Niazi

Karl H. Johansson

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Papers citing "Learning-based Design of Luenberger Observers for Autonomous Nonlinear Systems"

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Title
Learning Operators with Coupled Attention Georgios Kissas Jacob H. Seidman Leonardo Ferreira Guilhoto V. Preciado George J. Pappas P. Perdikaris 77 113 0 04 Jan 2022
Exactly Computing the Local Lipschitz Constant of ReLU Networks Matt Jordan A. Dimakis 55 112 0 02 Mar 2020
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks Mahyar Fazlyab Alexander Robey Hamed Hassani M. Morari George J. Pappas 96 460 0 12 Jun 2019
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks Yuan Cao Quanquan Gu MLT AI4CE 89 390 0 30 May 2019
Generalization Error in Deep Learning Daniel Jakubovitz Raja Giryes M. Rodrigues AI4CE 188 111 0 03 Aug 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 83 529 0 28 May 2018
Generalization in Deep Learning Kenji Kawaguchi L. Kaelbling Yoshua Bengio ODL 91 460 0 16 Oct 2017
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 209 2,513 0 16 Jun 2016
Robust Large Margin Deep Neural Networks Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 72 309 0 26 May 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 277 14,927 1 21 Dec 2013