| 3D printable geomaterials DAH Hanaor, Y Gan, M Revay, DW Airey, I Einav Géotechnique 66 (4), 323-332, 2016 | 78 | 2016 |
| Lipschitz bounded equilibrium networks M Revay, R Wang, IR Manchester arXiv preprint arXiv:2010.01732, 2020 | 71 | 2020 |
| A convex parameterization of robust recurrent neural networks M Revay, R Wang, IR Manchester IEEE Control Systems Letters 5 (4), 1363-1368, 2020 | 70 | 2020 |
| Recurrent equilibrium networks: Flexible dynamic models with guaranteed stability and robustness M Revay, R Wang, IR Manchester IEEE Transactions on Automatic Control, 2023 | 65 | 2023 |
| Contracting implicit recurrent neural networks: Stable models with improved trainability M Revay, I Manchester Learning for Dynamics and Control, 393-403, 2020 | 49 | 2020 |
| 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 | 27 | 2021 |
| 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 | 18 | 2022 |
| 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 | 16 | 2018 |
| 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 | 12 | 2021 |
| Lipschitz bounded equilibrium networks. 2020 M Revay, R Wang, IR Manchester URL: https://arxiv. org/abs, 2010 | 8 | 2010 |
| Convex sets of robust recurrent neural networks M Revay, R Wang, IR Manchester arXiv preprint arXiv:2004.05290, 2020 | 5 | 2020 |
| 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 | 4 | 2023 |
| 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 | 3 | 2021 |
| 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 |
Ian R. ManchesterProfessor, University of Sydney. Director, ACFR. Director, ARIAM Hub.Bestätigte E-Mail-Adresse bei sydney.edu.au