Follow
Max Revay
Title
Cited by
Cited by
Year
3D printable geomaterials
DAH Hanaor, Y Gan, M Revay, DW Airey, I Einav
Géotechnique 66 (4), 323-332, 2016
482016
Contracting implicit recurrent neural networks: Stable models with improved trainability
M Revay, I Manchester
Learning for Dynamics and Control, 393-403, 2020
232020
A convex parameterization of robust recurrent neural networks
M Revay, R Wang, IR Manchester
IEEE Control Systems Letters 5 (4), 1363-1368, 2020
202020
Lipschitz bounded equilibrium networks
M Revay, R Wang, IR Manchester
arXiv preprint arXiv:2010.01732, 2020
102020
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
92018
Manchester. Lipschitz bounded equilibrium networks
M Revay, R Wang, R Ian
arXiv preprint arXiv:2010.01732 2 (9), 2020
82020
Recurrent equilibrium networks: Flexible dynamic models with guaranteed stability and robustness
M Revay, R Wang, IR Manchester
arXiv preprint arXiv:2104.05942, 2021
52021
Convex sets of robust recurrent neural networks
M Revay, R Wang, IR Manchester
arXiv preprint arXiv:2004.05290, 2020
42020
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
32021
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System
R Wang, N Barbara, M Revay, IR Manchester
arXiv preprint arXiv:2112.04219, 2021
22021
Distributed identification of contracting and/or monotone network dynamics
M Revay, J Umenberger, IR Manchester
arXiv preprint arXiv:2107.14309, 2021
22021
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial
IR Manchester, M Revay, R Wang
arXiv preprint arXiv:2110.00207, 2021
12021
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
Emerging Materials Research
DAH Hanaor, Y Gan, M Revay, DW Airey, I Einav
The system can't perform the operation now. Try again later.
Articles 1–17