| 3D printable geomaterials DAH Hanaor, Y Gan, M Revay, DW Airey, I Einav Géotechnique 66 (4), 323-332, 2016 | 41 | 2016 |
| Contracting implicit recurrent neural networks: Stable models with improved trainability M Revay, I Manchester Learning for Dynamics and Control, 393-403, 2020 | 9 | 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 | 6 | 2018 |
| A convex parameterization of robust recurrent neural networks M Revay, R Wang, IR Manchester IEEE Control Systems Letters 5 (4), 1363-1368, 2020 | 5 | 2020 |
| Lipschitz Bounded Equilibrium Networks M Revay, R Wang, IR Manchester arXiv preprint arXiv:2010.01732, 2020 | 2 | 2020 |
| Convex sets of robust recurrent neural networks M Revay, R Wang, IR Manchester arXiv e-prints, arXiv: 2004.05290, 2020 | 1 | 2020 |
| Recurrent Equilibrium Networks: Flexible Dynamic Models with Guaranteed Stability and Robustness M Revay, R Wang, IR Manchester arXiv preprint arXiv:2104.05942, 2021 | | 2021 |
| Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models M Revay, R Wang, IR Manchester arXiv preprint arXiv:2104.05942, 2021 | | 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 |
