Max Revay

Orcid: 0000-0002-8954-8907

According to our database1, Max Revay authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Recurrent Equilibrium Networks: Flexible Dynamic Models With Guaranteed Stability and Robustness.
IEEE Trans. Autom. Control., May, 2024

2023
Learning Over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System.
IEEE Control. Syst. Lett., 2023

RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness.
CoRR, 2023

2022
Distributed Identification of Contracting and/or Monotone Network Dynamics.
IEEE Trans. Autom. Control., 2022

Convex Clustering for Autocorrelated Time Series.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A Convex Parameterization of Robust Recurrent Neural Networks.
IEEE Control. Syst. Lett., 2021

Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Lipschitz Bounded Equilibrium Networks.
CoRR, 2020

Convex Sets of Robust Recurrent Neural Networks.
CoRR, 2020

Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2019
Distributed Nonlinear Control Design Using Separable Control Contraction Metrics.
IEEE Trans. Control. Netw. Syst., 2019


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