Victor M. Preciado

ORCID

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 123

Top Venues

CoRR

CDC

ACC

IEEE Trans. Control. Netw. Syst.

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Shaoru Chen, Victor M. Preciado, Mahyar Fazlyab
One-Shot Reachability Analysis of Neural Network Dynamical Systems. ICRA (2023)
Shuo Yang, Shaoru Chen, Victor M. Preciado, Rahul Mangharam
Differentiable Safe Controller Design Through Control Barrier Functions. IEEE Control. Syst. Lett. 7 (2023)
Shuo Yang, Shaoru Chen, Victor M. Preciado, Rahul Mangharam
Differentiable Safe Controller Design through Control Barrier Functions. CoRR (2022)
Carolyn L. Beck, Francesco Bullo, Giacomo Como, Kimon Drakopoulos, Dang H. Nguyen, Cameron Nowzari, Victor M. Preciado, Shreyas Sundaram
Special Section on Mathematical Modeling, Analysis, and Control of Epidemics. SIAM J. Control. Optim. 60 (2) (2022)
Alp Aydinoglu, Philip Sieg, Victor M. Preciado, Michael Posa
Stabilization of Complementarity Systems via Contact-Aware Controllers. IEEE Trans. Robotics 38 (3) (2022)
Shaoru Chen, Ning-Yuan Li, Victor M. Preciado, Nikolai Matni
Robust Model Predictive Control of Time-Delay Systems through System Level Synthesis. CoRR (2022)
Shaoru Chen, Victor M. Preciado, Manfred Morari, Nikolai Matni
Robust Model Predictive Control with Polytopic Model Uncertainty through System Level Synthesis. CoRR (2022)
Shaoru Chen, Victor M. Preciado, Mahyar Fazlyab
One-Shot Reachability Analysis of Neural Network Dynamical Systems. CoRR (2022)
Shaoru Chen, Ning-Yuan Li, Victor M. Preciado, Nikolai Matni
Robust Model Predictive Control of Time-Delay Systems through System Level Synthesis. CDC (2022)
Mikhail Hayhoe, Francisco Barreras, Victor M. Preciado
A dynamical approach to efficient eigenvalue estimation in general multiagent networks. Autom. 140 (2022)
Mikhail Hayhoe, Hans Riess, Victor M. Preciado, Alejandro Ribeiro
Stable and Transferable Hyper-Graph Neural Networks. CoRR (2022)
Alessandro N. Vargas, Cristiano M. Agulhari, Ricardo C. L. F. Oliveira, Victor M. Preciado
Robust Stability Analysis of Linear Parameter-Varying Systems With Markov Jumps. IEEE Trans. Autom. Control. 67 (11) (2022)
Pau Batlle, Joan Bruna, Carlos Fernandez-Granda, Victor M. Preciado
Adaptive Test Allocation for Outbreak Detection and Tracking in Social Contact Networks. SIAM J. Control. Optim. 60 (2) (2022)
Georgios Kissas, Jacob H. Seidman, Leonardo Ferreira Guilhoto, Victor M. Preciado, George J. Pappas, Paris Perdikaris
Learning Operators with Coupled Attention. J. Mach. Learn. Res. 23 (2022)
Georgios Kissas, Jacob H. Seidman, Leonardo Ferreira Guilhoto, Victor M. Preciado, George J. Pappas, Paris Perdikaris
Learning Operators with Coupled Attention. CoRR (2022)
Teodoro Alamo, Pablo Millán, Daniel Gutiérrez-Reina, Victor M. Preciado, Giulia Giordano
Challenges and Future Directions in Pandemic Control. IEEE Control. Syst. Lett. 6 (2022)
Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado
Learning lyapunov functions for hybrid systems. HSCC (2021)
Mikhail Hayhoe, Francisco Barreras, Victor M. Preciado
Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approach. Annu. Rev. Control. 52 (2021)
Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado
Learning Region of Attraction for Nonlinear Systems. CDC (2021)
Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado
Learning Lyapunov Functions for Hybrid Systems. CISS (2021)
Francisco Barreras, Mikhail Hayhoe, Hamed Hassani, Victor M. Preciado
AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data. CoRR (2021)
Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado
On the Structural Target Controllability of Undirected Networks. IEEE Trans. Autom. Control. 66 (10) (2021)
Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, Victor M. Preciado
Learning Region of Attraction for Nonlinear Systems. CoRR (2021)
Teodoro Alamo, Daniel Gutiérrez-Reina, Pablo Millán Gata, Victor M. Preciado, Giulia Giordano
Data-Driven Methods for Present and Future Pandemics: Monitoring, Modelling and Managing. CoRR (2021)
Teodoro Alamo, Daniel Gutiérrez-Reina, Pablo Millán Gata, Victor M. Preciado, Giulia Giordano
Data-driven methods for present and future pandemics: Monitoring, modelling and managing. Annu. Rev. Control. 52 (2021)
Shaoru Chen, Nikolai Matni, Manfred Morari, Victor M. Preciado
System Level Synthesis-based Robust Model Predictive Control through Convex Inner Approximation. CoRR (2021)
Alp Aydinoglu, Victor M. Preciado, Michael Posa
Stabilization of Complementarity Systems via Contact-Aware Controllers. CoRR (2020)
Zixuan Zhang, Michael Zargham, Victor M. Preciado
On modeling blockchain-enabled economic networks as stochastic dynamical systems. Appl. Netw. Sci. 5 (1) (2020)
Mikhail Hayhoe, Francisco Barreras, Victor M. Preciado
Data-Driven Control of the COVID-19 Outbreak via Non-Pharmaceutical Interventions: A Geometric Programming Approach. CoRR (2020)
Jacob H. Seidman, Mahyar Fazlyab, Victor M. Preciado, George J. Pappas
A Control-Theoretic Approach to Analysis and Parameter Selection of Douglas-Rachford Splitting. IEEE Control. Syst. Lett. 4 (1) (2020)
Shaoru Chen, Han Wang, Manfred Morari, Victor M. Preciado, Nikolai Matni
Robust Closed-loop Model Predictive Control via System Level Synthesis. CDC (2020)
Masaki Ogura, Victor M. Preciado
Stability of SIS Spreading Processes in Networks With Non-Markovian Transmission and Recovery. IEEE Trans. Control. Netw. Syst. 7 (1) (2020)
Ximing Chen, Masaki Ogura, Victor M. Preciado
SDP-Based Moment Closure for Epidemic Processes on Networks. IEEE Trans. Netw. Sci. Eng. 7 (4) (2020)
Mikhail Hayhoe, Francisco Barreras, Victor M. Preciado
A Dynamical Approach to Efficient Eigenvalue Estimation in General Multiagent Networks. CoRR (2020)
Jacob H. Seidman, Mahyar Fazlyab, Victor M. Preciado, George J. Pappas
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees. L4DC (2020)
Soheil Eshghi, Victor M. Preciado, Saswati Sarkar, Santosh S. Venkatesh, Qing Zhao, Raissa M. D'Souza, Ananthram Swami
Spread, Then Target, and Advertise in Waves: Optimal Budget Allocation Across Advertising Channels. IEEE Trans. Netw. Sci. Eng. 7 (2) (2020)
Jacob H. Seidman, Mahyar Fazlyab, Victor M. Preciado, George J. Pappas
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees. CoRR (2020)
Cassiano O. Becker, Sérgio Pequito, George J. Pappas, Victor M. Preciado
Network Design for Controllability Metrics. IEEE Trans. Control. Netw. Syst. 7 (3) (2020)
Pau Batlle, Joan Bruna, Carlos Fernandez-Granda, Victor M. Preciado
Adaptive Test Allocation for Outbreak Detection and Tracking in Social Contact Networks. CoRR (2020)
Alp Aydinoglu, Victor M. Preciado, Michael Posa
Contact-Aware Controller Design for Complementarity Systems. ICRA (2020)
Ximing Chen, Masaki Ogura, Victor M. Preciado
Bounds on the Spectral Radius of Digraphs from Subgraph Counts. SIAM J. Matrix Anal. Appl. 41 (2) (2020)
Cassiano O. Becker, Victor M. Preciado
Variational Inference for Linear Systems with Latent Parameter Space. ACC (2019)
Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado
Resilient Structural Stabilizability of Undirected Networks. ACC (2019)
Alp Aydinoglu, Cassiano O. Becker, Victor M. Preciado
Data-driven Stabilization of Nonlinear Systems via Tree-Based Ensemble Learning. CDC (2019)
Alp Aydinoglu, Victor M. Preciado, Michael Posa
Contact-Aware Controller Design for Complementarity Systems. CoRR (2019)
Santiago Paternain, Mahyar Fazlyab, Victor M. Preciado, Alejandro Ribeiro
A Prediction-Correction Primal-Dual Algorithm for Distributed Optimization. ACC (2019)
Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado
Minimal Edge Addition for Network Controllability. IEEE Trans. Control. Netw. Syst. 6 (1) (2019)
Ximing Chen, Shaoru Chen, Victor M. Preciado
Safety Verification of Nonlinear Polynomial System via Occupation Measures. CDC (2019)
Naoki Masuda, Masaki Ogura, Victor M. Preciado
Analysis of the susceptible-infected-susceptible epidemic dynamics in networks via the non-backtracking matrix. CoRR (2019)
Masaki Ogura, Victor M. Preciado, Naoki Masuda
Optimal Containment of Epidemics over Temporal Activity-Driven Networks. SIAM J. Appl. Math. 79 (3) (2019)
Han Wang, Mahyar Fazlyab, Shaoru Chen, Victor M. Preciado
Robust Convergence Analysis of Three-Operator Splitting. Allerton (2019)
Jacob H. Seidman, Mahyar Fazlyab, George J. Pappas, Victor M. Preciado
A Chebyshev-Accelerated Primal-Dual Method for Distributed Optimization. CDC (2018)
Mahyar Fazlyab, Manfred Morari, Victor M. Preciado
Design of First-Order Optimization Algorithms via Sum-of-Squares Programming. CDC (2018)
Masaki Ogura, Victor M. Preciado, Naoki Masuda
Optimal Containment of Epidemics over Temporal Activity-Driven Networks. CoRR (2018)
Masaki Ogura, Ahmet Cetinkaya, Tomohisa Hayakawa, Victor M. Preciado
State-feedback control of Markov jump linear systems with hidden-Markov mode observation. Autom. 89 (2018)
Masaki Ogura, Victor M. Preciado
Second-order moment-closure for tighter epidemic thresholds. Syst. Control. Lett. 113 (2018)
Michael Zargham, Zixuan Zhang, Victor M. Preciado
A State-Space Modeling Framework for Engineering Blockchain-Enabled Economic Systems. CoRR (2018)
Mahyar Fazlyab, Santiago Paternain, Victor M. Preciado, Alejandro Ribeiro
Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization. IEEE Trans. Autom. Control. 63 (7) (2018)
Cassiano O. Becker, Victor M. Preciado
Identification of State-space Linear Time-varying Systems with Sum-of-norms Regularization. ACC (2018)
Mahyar Fazlyab, Santiago Paternain, Alejandro Ribeiro, Victor M. Preciado
Distributed Smooth and Strongly Convex Optimization with Inexact Dual Methods. ACC (2018)
Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado
Structural Target Controllability of Undirected Networks. CDC (2018)
Ximing Chen, Eunsuk Kang, Shinichi Shiraishi, Victor M. Preciado, Zhihao Jiang
Digital Behavioral Twins for Safe Connected Cars. MoDELS (2018)
Mahyar Fazlyab, Alejandro Ribeiro, Manfred Morari, Victor M. Preciado
Analysis of Optimization Algorithms via Integral Quadratic Constraints: Nonstrongly Convex Problems. SIAM J. Optim. 28 (3) (2018)
Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado
Resilient Structural Stabilizability of Undirected Networks. CoRR (2018)
Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, Victor M. Preciado
Structural Target Controllability of Undirected Networks. CoRR (2018)
Mikhail Hayhoe, Francisco Barreras, Hamed Hassani, Victor M. Preciado
SPECTRE: Seedless Network Alignment via Spectral Centralities. CoRR (2018)
Nicholas J. Watkins, Cameron Nowzari, Victor M. Preciado, George J. Pappas
Optimal Resource Allocation for Competitive Spreading Processes on Bilayer Networks. IEEE Trans. Control. Netw. Syst. 5 (1) (2018)
Soheil Eshghi, Victor M. Preciado, Saswati Sarkar, Santosh S. Venkatesh, Qing Zhao, Raissa M. D'Souza, Ananthram Swami
Spread, then Target, and Advertise in Waves: Optimal Capital Allocation Across Advertising Channels. CoRR (2017)
Soheil Eshghi, Victor M. Preciado, Saswati Sarkar, Santosh S. Venkatesh, Qing Zhao, Raissa M. D'Souza, Ananthram Swami
Spread, then target, and advertise in waves: Optimal capital allocation across advertising channels. ITA (2017)
Spyridon Leonardos, Victor M. Preciado, Kostas Daniilidis
A dynamical systems approach to distributed eigenvector computation. CDC (2017)
Ximing Chen, Fei Miao, George J. Pappas, Victor M. Preciado
Hierarchical data-driven vehicle dispatch and ride-sharing. CDC (2017)
Ximing Chen, Masaki Ogura, Khem Raj Ghusinga, Abhyudai Singh, Victor M. Preciado
Semidefinite bounds for moment dynamics: Application to epidemics on networks. CDC (2017)
Mahyar Fazlyab, Florian Dörfler, Victor M. Preciado
Optimal network design for synchronization of coupled oscillators. Autom. 84 (2017)
Masaki Ogura, Victor M. Preciado
Optimal Design of Switched Networks of Positive Linear Systems via Geometric Programming. IEEE Trans. Control. Netw. Syst. 4 (2) (2017)
Masaki Ogura, Victor M. Preciado
Second-Order Moment-Closure for Tighter Epidemic Thresholds. CoRR (2017)
Mahyar Fazlyab, Alejandro Ribeiro, Manfred Morari, Victor M. Preciado
A dynamical systems perspective to convergence rate analysis of proximal algorithms. Allerton (2017)
Cassiano O. Becker, Sérgio Pequito, George J. Pappas, Victor M. Preciado
Network design for controllability metrics. CDC (2017)
Cameron Nowzari, Victor M. Preciado, George J. Pappas
Optimal Resource Allocation for Control of Networked Epidemic Models. IEEE Trans. Control. Netw. Syst. 4 (2) (2017)
Masaki Ogura, Victor M. Preciado
Katz centrality of Markovian temporal networks: Analysis and optimization. ACC (2017)
Victor M. Preciado, M. Amin Rahimian
Moment-Based Spectral Analysis of Random Graphs with Given Expected Degrees. IEEE Trans. Netw. Sci. Eng. 4 (4) (2017)
Victor M. Preciado, Michael M. Zavlanos
Distributed Network Design for Laplacian Eigenvalue Placement. IEEE Trans. Control. Netw. Syst. 4 (3) (2017)
Mahyar Fazlyab, Alec Koppel, Victor M. Preciado, Alejandro Ribeiro
A variational approach to dual methods for constrained convex optimization. ACC (2017)
Cassiano O. Becker, Victor M. Preciado
Blind subspace system identification with Riemannian optimization. ACC (2017)
Masaki Ogura, Masashi Wakaiki, João Pedro Hespanha, Victor M. Preciado
L2-gain analysis of regenerative switched linear systems with sampled-data state-feedback control. ACC (2016)
Masaki Ogura, Victor M. Preciado
Protection of Complex Networks against SIR Spreading Processes. CoRR (2016)
Mahyar Fazlyab, Santiago Paternain, Victor M. Preciado, Alejandro Ribeiro
Interior point method for dynamic constrained optimization in continuous time. ACC (2016)
Masaki Ogura, Victor M. Preciado
Stability of Spreading Processes with General Transmission and Recovery Times. CoRR (2016)
Masaki Ogura, Victor M. Preciado
Katz Centrality of Markovian Temporal Networks: Analysis and Optimization. CoRR (2016)
Cassiano O. Becker, Sérgio Daniel Pequito, George J. Pappas, Victor M. Preciado
Approximation of network linear operators using similarity shift filters. GlobalSIP (2016)
Victor M. Preciado, M. Amin Rahimian
Controllability Gramian Spectra of Random Networks. CoRR (2016)
Masaki Ogura, Victor M. Preciado
Optimal Containment of Epidemics in Temporal and Adaptive Networks. CoRR (2016)
Masaki Ogura, Victor M. Preciado, Raphaël M. Jungers
Efficient method for computing lower bounds on the p-radius of switched linear systems. Syst. Control. Lett. 94 (2016)
Masaki Ogura, Victor M. Preciado
Efficient containment of exact SIR Markovian processes on networks. CDC (2016)
Masaki Ogura, Masashi Wakaiki, Victor M. Preciado
Dynamic analysis of bet-hedging strategies as a protection mechanism against environmental fluctuations. CDC (2016)
Masaki Ogura, Victor M. Preciado
Optimal design of networks of positive linear systems under stochastic uncertainty. ACC (2016)
Masaki Ogura, Victor M. Preciado
Stability of Markov regenerative switched linear systems. Autom. 69 (2016)
Masaki Ogura, Victor M. Preciado
Stability of Spreading Processes over Time-Varying Large-Scale Networks. IEEE Trans. Netw. Sci. Eng. 3 (1) (2016)
Mahyar Fazlyab, Cameron Nowzari, George J. Pappas, Alejandro Ribeiro, Victor M. Preciado
Self-triggered time-varying convex optimization. CDC (2016)
Masaki Ogura, Victor M. Preciado
Epidemic Processes over Adaptive State-Dependent Networks. CoRR (2016)
Victor M. Preciado, M. Amin Rahimian
Controllability Gramian spectra of random networks. ACC (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Victor M. Preciado