Recurrent Equilibrium Networks: Flexible Dynamic Models with Guaranteed Stability and Robustness

13 April 2021

Papers citing "Recurrent Equilibrium Networks: Flexible Dynamic Models with Guaranteed Stability and Robustness"

8 / 8 papers shown

Title
Negative Imaginary Neural ODEs: Learning to Control Mechanical Systems with Stability Guarantees Kanghong Shi Ruigang Wang I. Manchester 24 0 0 28 Apr 2025
On Dissipativity of Cross-Entropy Loss in Training ResNets Jens Püttschneider T. Faulwasser 35 0 0 29 May 2024
Learning Stable and Passive Neural Differential Equations Jing Cheng Ruigang Wang I. Manchester 34 3 0 19 Apr 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks Ruigang Wang Krishnamurthy Dvijotham I. Manchester 36 5 0 02 Feb 2024
Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems (Extended Version) Nicholas H. Barbara Ruigang Wang I. Manchester 11 3 0 12 Apr 2023
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations D. Martinelli C. Galimberti I. Manchester Luca Furieri Giancarlo Ferrari-Trecate 22 11 0 06 Apr 2023
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian Patricia Pauli Ruigang Wang I. Manchester Frank Allgöwer 32 8 0 20 Mar 2023
Convolutional Neural Networks as 2-D systems Dennis Gramlich Patricia Pauli C. Scherer Frank Allgöwer C. Ebenbauer 3DV 33 8 0 06 Mar 2023