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Max Revay
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2020 – today
- 2024
- [j5]Max Revay
, Ruigang Wang
, Ian R. Manchester
:
Recurrent Equilibrium Networks: Flexible Dynamic Models With Guaranteed Stability and Robustness. IEEE Trans. Autom. Control. 69(5): 2855-2870 (2024) - 2023
- [j4]Ruigang Wang
, Nicholas Barbara
, Max Revay
, Ian R. Manchester
:
Learning Over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. IEEE Control. Syst. Lett. 7: 91-96 (2023) - [i9]Nicholas H. Barbara, Max Revay, Ruigang Wang, Jing Cheng, Ian R. Manchester:
RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness. CoRR abs/2306.12612 (2023) - 2022
- [j3]Max Revay
, Jack Umenberger
, Ian R. Manchester
:
Distributed Identification of Contracting and/or Monotone Network Dynamics. IEEE Trans. Autom. Control. 67(7): 3410-3425 (2022) - [c5]Max Revay, Victor Solo:
Convex Clustering for Autocorrelated Time Series. ICASSP 2022: 3313-3317 - 2021
- [j2]Max Revay
, Ruigang Wang
, Ian R. Manchester
:
A Convex Parameterization of Robust Recurrent Neural Networks. IEEE Control. Syst. Lett. 5(4): 1363-1368 (2021) - [c4]Max Revay, Ruigang Wang, Ian R. Manchester:
A Convex Parameterization of Robust Recurrent Neural Networks. ACC 2021: 2824-2829 - [c3]Max Revay, Ruigang Wang, Ian R. Manchester:
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CDC 2021: 2282-2287 - [c2]Ian R. Manchester, Max Revay, Ruigang Wang:
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CDC 2021: 2955-2962 - [i8]Max Revay, Ruigang Wang, Ian R. Manchester:
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CoRR abs/2104.05942 (2021) - [i7]Max Revay, Jack Umenberger, Ian R. Manchester:
Distributed Identification of Contracting and/or Monotone Network Dynamics. CoRR abs/2107.14309 (2021) - [i6]Ian R. Manchester, Max Revay, Ruigang Wang:
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CoRR abs/2110.00207 (2021) - [i5]Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester:
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. CoRR abs/2112.04219 (2021) - 2020
- [c1]Max Revay, Ian R. Manchester:
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability. L4DC 2020: 393-403 - [i4]Max Revay, Ruigang Wang, Ian R. Manchester:
Convex Sets of Robust Recurrent Neural Networks. CoRR abs/2004.05290 (2020) - [i3]Max Revay, Ruigang Wang, Ian R. Manchester:
Lipschitz Bounded Equilibrium Networks. CoRR abs/2010.01732 (2020)
2010 – 2019
- 2019
- [j1]Humberto Stein Shiromoto
, Max Revay
, Ian R. Manchester
:
Distributed Nonlinear Control Design Using Separable Control Contraction Metrics. IEEE Trans. Control. Netw. Syst. 6(4): 1281-1290 (2019) - [i2]Max Revay, Ian R. Manchester:
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability. CoRR abs/1912.10402 (2019) - 2018
- [i1]Humberto Stein Shiromoto, Max Revay, Ian R. Manchester:
Distributed Nonlinear Control Design using Separable Control Contraction Metrics. CoRR abs/1810.04794 (2018)
Coauthor Index
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