Max Revay

19 papers C 1Misc 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Recurrent Equilibrium Networks: Flexible Dynamic Models With Guaranteed Stability and Robustness.
IEEE Trans. Autom. Control.
Max Revay, Ruigang Wang, Ian R. Manchester
2023 J jnl
Learning Over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System.
IEEE Control. Syst. Lett.
Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester
2023 J jnl
RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness.
CoRR
Nicholas H. Barbara, Max Revay, Ruigang Wang, Jing Cheng, Ian R. Manchester
2022 Misc conf
Convex Clustering for Autocorrelated Time Series.
ICASSP
Max Revay, Victor Solo
2022 J jnl
Distributed Identification of Contracting and/or Monotone Network Dynamics.
IEEE Trans. Autom. Control.
Max Revay, Jack Umenberger, Ian R. Manchester
2021 C conf
A Convex Parameterization of Robust Recurrent Neural Networks.
ACC
Max Revay, Ruigang Wang, Ian R. Manchester
2021 J jnl
A Convex Parameterization of Robust Recurrent Neural Networks.
IEEE Control. Syst. Lett.
Max Revay, Ruigang Wang, Ian R. Manchester
2021 — conf
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial.
CDC
Ian R. Manchester, Max Revay, Ruigang Wang
2021 J jnl
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial.
CoRR
Ian R. Manchester, Max Revay, Ruigang Wang
2021 J jnl
Distributed Identification of Contracting and/or Monotone Network Dynamics.
CoRR
Max Revay, Jack Umenberger, Ian R. Manchester
2021 J jnl
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System.
CoRR
Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester
2021 — conf
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models.
CDC
Max Revay, Ruigang Wang, Ian R. Manchester
2021 J jnl
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models.
CoRR
Max Revay, Ruigang Wang, Ian R. Manchester
2020 — conf
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability.
L4DC
Max Revay, Ian R. Manchester
2020 J jnl
Convex Sets of Robust Recurrent Neural Networks.
CoRR
Max Revay, Ruigang Wang, Ian R. Manchester
2020 J jnl
Lipschitz Bounded Equilibrium Networks.
CoRR
Max Revay, Ruigang Wang, Ian R. Manchester
2019 J jnl
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability.
CoRR
Max Revay, Ian R. Manchester
2019 J jnl
Distributed Nonlinear Control Design Using Separable Control Contraction Metrics.
IEEE Trans. Control. Netw. Syst.
Humberto Stein Shiromoto, Max Revay, Ian R. Manchester
2018 J jnl
Distributed Nonlinear Control Design using Separable Control Contraction Metrics.
CoRR
Humberto Stein Shiromoto, Max Revay, Ian R. Manchester