| 3D printable geomaterials DAH Hanaor, Y Gan, M Revay, DW Airey, I Einav Géotechnique 66 (4), 323-332, 2016 | 48 | 2016 |
| Contracting implicit recurrent neural networks: Stable models with improved trainability M Revay, I Manchester Learning for Dynamics and Control, 393-403, 2020 | 23 | 2020 |
| A convex parameterization of robust recurrent neural networks M Revay, R Wang, IR Manchester IEEE Control Systems Letters 5 (4), 1363-1368, 2020 | 20 | 2020 |
| Lipschitz bounded equilibrium networks M Revay, R Wang, IR Manchester arXiv preprint arXiv:2010.01732, 2020 | 10 | 2020 |
| 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 | 9 | 2018 |
| Manchester. Lipschitz bounded equilibrium networks M Revay, R Wang, R Ian arXiv preprint arXiv:2010.01732 2 (9), 2020 | 8 | 2020 |
| Recurrent equilibrium networks: Flexible dynamic models with guaranteed stability and robustness M Revay, R Wang, IR Manchester arXiv preprint arXiv:2104.05942, 2021 | 5 | 2021 |
| Convex sets of robust recurrent neural networks M Revay, R Wang, IR Manchester arXiv preprint arXiv:2004.05290, 2020 | 4 | 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 | 3 | 2021 |
| 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 | 2 | 2021 |
| Distributed identification of contracting and/or monotone network dynamics M Revay, J Umenberger, IR Manchester arXiv preprint arXiv:2107.14309, 2021 | 2 | 2021 |
| Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial IR Manchester, M Revay, R Wang arXiv preprint arXiv:2110.00207, 2021 | 1 | 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 |
| Emerging Materials Research DAH Hanaor, Y Gan, M Revay, DW Airey, I Einav | | |
Ian R. ManchesterProfessor, University of Sydney, AustraliaVerified email at sydney.edu.au
