Mahyar Fazlyab
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Año
Efficient and accurate estimation of lipschitz constants for deep neural networks
M Fazlyab, A Robey, H Hassani, M Morari, GJ Pappas
arXiv preprint arXiv:1906.04893, 2019
692019
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
622018
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
622017
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
372013
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
362020
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
232016
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
222016
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
202016
Optimal network design for synchronization of coupled oscillators
M Fazlyab, F Dörfler, VM Preciado
Automatica 84, 181-189, 2017
14*2017
Robust topology identification and control of LTI networks
M Fazlyab, VM Preciado
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014
132014
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
82019
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
82017
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
72020
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
72018
A Chebyshev-accelerated primal-dual method for distributed optimization
JH Seidman, M Fazlyab, GJ Pappas, VM Preciado
2018 IEEE Conference on Decision and Control (CDC), 1775-1781, 2018
62018
A dynamical systems perspective to convergence rate analysis of proximal algorithms
M Fazlyab, A Ribeiro, M Morari, VM Preciado
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
62017
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
52018
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
42020
A control-theoretic approach to analysis and parameter selection of douglas–rachford splitting
JH Seidman, M Fazlyab, VM Preciado, GJ Pappas
IEEE Control Systems Letters 4 (1), 199-204, 2019
42019
Enforcing robust control guarantees within neural network policies
PL Donti, M Roderick, M Fazlyab, JZ Kolter
arXiv preprint arXiv:2011.08105, 2020
32020
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20