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Mahyar Fazlyab
Mahyar Fazlyab
Assistant Professor, Johns Hopkins University
Verified email at jhu.edu - Homepage
Title
Cited by
Cited by
Year
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
1892019
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, 2020
1122020
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
922018
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
882017
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
432013
Enforcing robust control guarantees within neural network policies
PL Donti, M Roderick, M Fazlyab, JZ Kolter
arXiv preprint arXiv:2011.08105, 2020
332020
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
292020
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
282016
Optimal network design for synchronization of coupled oscillators
M Fazlyab, F Dörfler, VM Preciado
Automatica 84, 181-189, 2017
27*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
272016
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
272016
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
242019
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
152017
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
142021
Robust topology identification and control of LTI networks
M Fazlyab, VM Preciado
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014
142014
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
132018
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
102020
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
92020
Distributed smooth and strongly convex optimization with inexact dual methods
M Fazlyab, S Paternain, A Ribeiro, VM Preciado
2018 Annual American Control Conference (ACC), 3768-3773, 2018
82018
Stability analysis of complementarity systems with neural network controllers
A Aydinoglu, M Fazlyab, M Morari, M Posa
Proceedings of the 24th International Conference on Hybrid Systems …, 2021
72021
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Articles 1–20