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Max Revay
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3D printable geomaterials
DAH Hanaor, Y Gan, M Revay, DW Airey, I Einav
Géotechnique 66 (4), 323-332, 2016
652016
A convex parameterization of robust recurrent neural networks
M Revay, R Wang, IR Manchester
IEEE Control Systems Letters 5 (4), 1363-1368, 2020
482020
Contracting implicit recurrent neural networks: Stable models with improved trainability
M Revay, I Manchester
Learning for Dynamics and Control, 393-403, 2020
422020
Lipschitz bounded equilibrium networks
M Revay, R Wang, IR Manchester
arXiv preprint arXiv:2010.01732, 2020
332020
Recurrent equilibrium networks: Flexible dynamic models with guaranteed stability and robustness
M Revay, R Wang, IR Manchester
IEEE Transactions on Automatic Control, 2023
292023
Manchester. Lipschitz bounded equilibrium networks
M Revay, R Wang, R Ian
arXiv preprint arXiv:2010.01732 2 (9), 2020
192020
Recurrent equilibrium networks: Unconstrained learning of stable and robust dynamical models
M Revay, R Wang, IR Manchester
2021 60th IEEE Conference on Decision and Control (CDC), 2282-2287, 2021
182021
Distributed nonlinear control design using separable control contraction metrics
HS Shiromoto, M Revay, IR Manchester
IEEE Transactions on Control of Network Systems 6 (4), 1281-1290, 2018
152018
Contraction-based methods for stable identification and robust machine learning: a tutorial
IR Manchester, M Revay, R Wang
2021 60th IEEE Conference on Decision and Control (CDC), 2955-2962, 2021
112021
Learning over all stabilizing nonlinear controllers for a partially-observed linear system
R Wang, NH Barbara, M Revay, IR Manchester
IEEE Control Systems Letters 7, 91-96, 2022
102022
Lipschitz bounded equilibrium networks. 2020
M Revay, R Wang, IR Manchester
URL: https://arxiv. org/abs, 2010
72010
Convex sets of robust recurrent neural networks
M Revay, R Wang, IR Manchester
arXiv preprint arXiv:2004.05290, 2020
52020
RobustNeuralNetworks. jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness
NH Barbara, M Revay, R Wang, J Cheng, IR Manchester
arXiv preprint arXiv:2306.12612, 2023
32023
Distributed identification of contracting and/or monotone network dynamics
M Revay, J Umenberger, IR Manchester
IEEE Transactions on Automatic Control 67 (7), 3410-3425, 2021
32021
Convex Clustering for Autocorrelated Time Series
M Revay, V Solo
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
2022
A Behavioral Approach to Robust Machine Learning
MPG Revay
2021
Distributed Nonlinear Control Design using Separable Control Contraction Metrics
H Stein Shiromoto, M Revay, IR Manchester
arXiv e-prints, arXiv: 1810.04794, 2018
2018
3D printable geomaterials
D Airey, I Einav, Y Gan, D Hanaor, M Revay
ICE Publishing, 2016
2016
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