| Efficient and accurate estimation of lipschitz constants for deep neural networks M Fazlyab, A Robey, H Hassani, M Morari, G Pappas Advances in neural information processing systems 32, 2019 | 461 | 2019 |
| Safety verification and robustness analysis of neural networks via quadratic constraints and semidefinite programming M Fazlyab, M Morari, GJ Pappas IEEE Transactions on Automatic Control 67 (1), 1-15, 2022 | 255 | 2022 |
| Prediction-correction interior-point method for time-varying convex optimization M Fazlyab, S Paternain, VM Preciado, A Ribeiro IEEE Transactions on Automatic Control 63 (7), 1973-1986, 2017 | 149 | 2017 |
| Analysis of optimization algorithms via integral quadratic constraints: Nonstrongly convex problems M Fazlyab, A Ribeiro, M Morari, VM Preciado SIAM Journal on Optimization 28 (3), 2654-2689, 2018 | 121 | 2018 |
| Reach-sdp: Reachability analysis of closed-loop systems with neural network controllers via semidefinite programming H Hu, M Fazlyab, M Morari, GJ Pappas 2020 59th IEEE conference on decision and control (CDC), 5929-5934, 2020 | 87 | 2020 |
| Enforcing robust control guarantees within neural network policies PL Donti, M Roderick, M Fazlyab, JZ Kolter International Conference on Learning Representations, 2020 | 76 | 2020 |
| Learning lyapunov functions for hybrid systems S Chen, M Fazlyab, M Morari, GJ Pappas, VM Preciado Proceedings of the 24th International Conference on Hybrid Systems …, 2021 | 67 | 2021 |
| Probabilistic verification and reachability analysis of neural networks via semidefinite programming M Fazlyab, M Morari, GJ Pappas 2019 IEEE 58th Conference on Decision and Control (CDC), 2726-2731, 2019 | 50 | 2019 |
| Parameter estimation and interval type-2 fuzzy sliding mode control of a z-axis MEMS gyroscope M Fazlyab, MZ Pedram, H Salarieh, A Alasty ISA transactions 52 (6), 900-911, 2013 | 46 | 2013 |
| Effect of dexamethasone intraligamentary injection on post-endodontic pain in patients with symptomatic irreversible pulpitis: a randomized controlled clinical trial P Mehrvarzfar, E Esnashari, R Salmanzadeh, M Fazlyab, M Fazlyab Iranian endodontic journal 11 (4), 261, 2016 | 43 | 2016 |
| Optimal network design for synchronization of coupled oscillators M Fazlyab, F Dörfler, VM Preciado Automatica 84, 181-189, 2017 | 39* | 2017 |
| Interior point method for dynamic constrained optimization in continuous time M Fazlyab, S Paternain, VM Preciado, A Ribeiro 2016 American Control Conference (ACC), 5612-5618, 2016 | 34 | 2016 |
| Self-triggered time-varying convex optimization M Fazlyab, C Nowzari, GJ Pappas, A Ribeiro, VM Preciado 2016 IEEE 55th Conference on Decision and Control (CDC), 3090-3097, 2016 | 33 | 2016 |
| Learning region of attraction for nonlinear systems S Chen, M Fazlyab, M Morari, GJ Pappas, VM Preciado 2021 60th IEEE Conference on Decision and Control (CDC), 6477-6484, 2021 | 31 | 2021 |
| A variational approach to dual methods for constrained convex optimization M Fazlyab, A Koppel, VM Preciado, A Ribeiro 2017 American Control Conference (ACC), 5269-5275, 2017 | 24 | 2017 |
| Learning lyapunov functions for piecewise affine systems with neural network controllers S Chen, M Fazlyab, M Morari, GJ Pappas, VM Preciado arXiv preprint arXiv:2008.06546, 2020 | 22 | 2020 |
| Certifying incremental quadratic constraints for neural networks via convex optimization N Hashemi, J Ruths, M Fazlyab Learning for Dynamics and Control, 842-853, 2021 | 21 | 2021 |
| Deepsplit: Scalable verification of deep neural networks via operator splitting S Chen, E Wong, JZ Kolter, M Fazlyab IEEE Open Journal of Control Systems 1, 126-140, 2022 | 18 | 2022 |
| Robust deep learning as optimal control: Insights and convergence guarantees JH Seidman, M Fazlyab, VM Preciado, GJ Pappas Learning for Dynamics and Control, 884-893, 2020 | 17 | 2020 |
| Design of First-Order Optimization Algorithms via Sum-of-Squares Programming M Fazlyab, M Morari, VM Preciado 2018 IEEE Conference on Decision and Control (CDC), 4445-4452, 2018 | 15 | 2018 |
Victor M. PreciadoAssociate Professor, University of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证
