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2020 – today
- 2024
[j31]Andrea Simonetto
:
Flexible Optimization for Cyber-Physical and Human Systems. IEEE Control. Syst. Lett. 8: 1475-1480 (2024)- [j30]Filippo Fabiani, Andrea Simonetto:
Incentives and Coevolution: Steering Linear Dynamical Systems With Noncooperative Agents. IEEE Trans. Control. Netw. Syst. 11(2): 1067-1079 (2024) - [i32]Sayak Mukherjee, Andrea Simonetto, Hadi Jamali Rad:
MAPL: Model Agnostic Peer-to-peer Learning. CoRR abs/2403.19792 (2024) - 2023
- [j29]Nicola Bastianello, Ruggero Carli, Andrea Simonetto:
Extrapolation-Based Prediction-Correction Methods for Time-varying Convex Optimization. Signal Process. 210: 109089 (2023) - [j28]Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano:
Distributed Personalized Gradient Tracking With Convex Parametric Models. IEEE Trans. Autom. Control. 68(1): 588-595 (2023) - [j27]Filippo Fabiani, Andrea Simonetto, Paul J. Goulart:
Personalized Incentives as Feedback Design in Generalized Nash Equilibrium Problems. IEEE Trans. Autom. Control. 68(12): 7724-7739 (2023) - [j26]Ana M. Ospina, Andrea Simonetto, Emiliano Dall'Anese:
Time-Varying Optimization of Networked Systems With Human Preferences. IEEE Trans. Control. Netw. Syst. 10(1): 503-515 (2023) - [c38]Eliabelle Mauduit, Andrea Simonetto:
Constrained Hierarchical Clustering via Graph Coarsening and Optimal Cuts. ACSSC 2023: 844-848 - [c37]Andrea Simonetto, Paolo Massioni:
Optimization Filters for Stochastic Time-Varying Convex Optimization. ECC 2023: 1-6 - [c36]Zoé Verchère, Sourour Elloumi, Andrea Simonetto:
Optimizing Variational Circuits for Higher-Order Binary Optimization. QCE 2023: 19-25 - [i31]Filippo Fabiani, Andrea Simonetto:
Incentives and co-evolution: Steering linear dynamical systems with noncooperative agents. CoRR abs/2303.07241 (2023) - [i30]Elisabetta Perotti, Ana M. Ospina, Gianluca Bianchin, Andrea Simonetto, Emiliano Dall'Anese:
Towards the Decarbonization of the Mobility Sector: Promoting Renewable-Based Charging in Green Ride-Sharing. CoRR abs/2305.02419 (2023) - [i29]Eliabelle Mauduit, Andrea Simonetto:
Constrained Hierarchical Clustering via Graph Coarsening and Optimal Cuts. CoRR abs/2312.04209 (2023) - 2022
- [c35]Andrea Simonetto, Ivano Notarnicola:
Achievement and Fragility of Long-term Equitability. AIES 2022: 675-685 - [c34]Filippo Fabiani, Andrea Simonetto, Paul J. Goulart:
Learning equilibria with personalized incentives in a class of nonmonotone games. ECC 2022: 2179-2184 - [c33]Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese:
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression. L4DC 2022: 138-152 - [c32]Liam Madden, Albert Akhriev, Andrea Simonetto:
Sketching the Best Approximate Quantum Compiling Problem. QCE 2022: 492-502 - [i28]Filippo Fabiani, Andrea Simonetto, Paul J. Goulart:
Personalized incentives as feedback design in generalized Nash equilibrium problems. CoRR abs/2203.12948 (2022) - [i27]Andrea Simonetto, Ivano Notarnicola:
Achievement and Fragility of Long-term Equitability. CoRR abs/2206.12333 (2022) - [i26]Jie Liu, Antonio Bellon, Andrea Simonetto, Martin Takác, Jakub Marecek:
Optimal Power Flow Pursuit in the Alternating Current Model. CoRR abs/2211.02939 (2022) - 2021
- [j25]Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil, Andrey Bernstein:
Personalized optimization with user's feedback. Autom. 131: 109767 (2021) - [i25]Ana M. Ospina, Andrea Simonetto, Emiliano Dall'Anese:
Time-Varying Optimization of Networked Systems with Human Preferences. CoRR abs/2103.13470 (2021) - [i24]Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese:
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression. CoRR abs/2105.13271 (2021) - [i23]Filippo Fabiani, Andrea Simonetto, Paul J. Goulart:
Learning equilibria with personalized incentives in a class of nonmonotone games. CoRR abs/2111.03854 (2021) - 2020
- [j24]Nicola Bastianello, Andrea Simonetto, Ruggero Carli:
Prediction-Correction Splittings for Time-Varying Optimization With Intermittent Observations. IEEE Control. Syst. Lett. 4(2): 373-378 (2020) - [j23]Andrea Simonetto, Emiliano Dall'Anese, Santiago Paternain, Geert Leus, Georgios B. Giannakis:
Time-Varying Convex Optimization: Time-Structured Algorithms and Applications. Proc. IEEE 108(11): 2032-2048 (2020) - [j22]Emiliano Dall'Anese, Andrea Simonetto, Stephen Becker, Liam Madden:
Optimization and Learning With Information Streams: Time-varying algorithms and applications. IEEE Signal Process. Mag. 37(3): 71-83 (2020) - [j21]Jianhan Song, Emiliano Dall'Anese, Andrea Simonetto, Hao Zhu:
Dynamic Distribution State Estimation Using Synchrophasor Data. IEEE Trans. Smart Grid 11(1): 821-831 (2020) - [c31]Albert Akhriev, Jakub Marecek, Andrea Simonetto:
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise. AAAI 2020: 3171-3178 - [c30]Nicola Bastianello, Andrea Simonetto, Ruggero Carli:
Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization. ACSSC 2020: 47-52 - [c29]Amirhossein Ajalloeian, Andrea Simonetto, Emiliano Dall'Anese:
Inexact Online Proximal-gradient Method for Time-varying Convex Optimization. ACC 2020: 2850-2857 - [c28]Andrea Simonetto:
Smooth Strongly Convex Regression. EUSIPCO 2020: 2130-2134 - [c27]Ana M. Ospina, Andrea Simonetto, Emiliano Dall'Anese:
Personalized Demand Response via Shape-Constrained Online Learning. SmartGridComm 2020: 1-6 - [i22]Andrea Simonetto:
Smooth Strongly Convex Regression. CoRR abs/2003.00771 (2020) - [i21]Nicola Bastianello, Andrea Simonetto, Ruggero Carli:
Primal and Dual Prediction-Correction Methods for Time-Varying Convex Optimization. CoRR abs/2004.11709 (2020) - [i20]Andrea Simonetto, Emiliano Dall'Anese, Santiago Paternain, Geert Leus, Georgios B. Giannakis:
Time-Varying Convex Optimization: Time-Structured Algorithms and Applications. CoRR abs/2006.08500 (2020) - [i19]Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano:
Distributed Personalized Gradient Tracking with Convex Parametric Models. CoRR abs/2008.04363 (2020)
2010 – 2019
- 2019
- [j20]Emiliano Dall'Anese, Andrea Simonetto, Andrey Bernstein:
On the Convergence of the Inexact Running Krasnosel'skiĭ-Mann Method. IEEE Control. Syst. Lett. 3(3): 613-618 (2019) - [j19]Andrea Simonetto:
Dual Prediction-Correction Methods for Linearly Constrained Time-Varying Convex Programs. IEEE Trans. Autom. Control. 64(8): 3355-3361 (2019) - [j18]Andrey Bernstein, Emiliano Dall'Anese, Andrea Simonetto:
Online Primal-Dual Methods With Measurement Feedback for Time-Varying Convex Optimization. IEEE Trans. Signal Process. 67(8): 1978-1991 (2019) - [c26]Nicola Bastianello, Andrea Simonetto, Ruggero Carli:
Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization. ECC 2019: 1963-1968 - [c25]Nicola Bastianello, Andrea Simonetto, Ruggero Carli:
Prediction-correction for Nonsmooth Time-varying Optimization via Forward-backward Envelopes. ICASSP 2019: 5581-5585 - [i18]Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil, Andrey Bernstein:
Personalized Optimization with User's Feedback. CoRR abs/1905.00775 (2019) - [i17]Venktesh Pandey, Julien Monteil, Claudio Gambella, Andrea Simonetto:
On the needs for MaaS platforms to handle competition in ridesharing mobility. CoRR abs/1906.07567 (2019) - [i16]Amirhossein Ajalloeian, Andrea Simonetto, Emiliano Dall'Anese:
Inexact Online Proximal-gradient Method for Time-varying Convex Optimization. CoRR abs/1910.02018 (2019) - [i15]Emiliano Dall'Anese, Andrea Simonetto, Stephen Becker, Liam Madden:
Optimization and Learning with Information Streams: Time-varying Algorithms and Applications. CoRR abs/1910.08123 (2019) - [i14]Claudio Gambella, Julien Monteil, Anton Dekusar, Sergio Cabrero Barros, Andrea Simonetto, Yassine Lassoued:
A city-scale IoT-enabled ridesharing platform. CoRR abs/1912.00648 (2019) - 2018
- [j17]Venkat Roy, Andrea Simonetto, Geert Leus:
Spatio-Temporal Field Estimation Using Kriged Kalman Filter (KKF) with Sparsity-Enforcing Sensor Placement. Sensors 18(6): 1778 (2018) - [j16]Xinyang Zhou, Emiliano Dall'Anese, Lijun Chen, Andrea Simonetto:
An Incentive-Based Online Optimization Framework for Distribution Grids. IEEE Trans. Autom. Control. 63(7): 2019-2031 (2018) - [j15]Emiliano Dall'Anese, Andrea Simonetto:
Optimal Power Flow Pursuit. IEEE Trans. Smart Grid 9(2): 942-952 (2018) - [c24]Andrea Simonetto:
Prediction-Correction Dual Ascent for Time-Varying Convex Programs. ACC 2018: 4508-4513 - [i13]Albert Akhriev, Jakub Marecek, Andrea Simonetto:
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise. CoRR abs/1809.03550 (2018) - 2017
- [j14]Rocio Arroyo-Valles, Andrea Simonetto, Geert Leus:
Consistent sensor, relay, and link selection in wireless sensor networks. Signal Process. 140: 32-44 (2017) - [j13]Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro:
Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization. IEEE Trans. Autom. Control. 62(11): 5724-5738 (2017) - [j12]Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus:
Autoregressive Moving Average Graph Filtering. IEEE Trans. Signal Process. 65(2): 274-288 (2017) - [j11]Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus:
Filtering Random Graph Processes Over Random Time-Varying Graphs. IEEE Trans. Signal Process. 65(16): 4406-4421 (2017) - [j10]Andrea Simonetto, Emiliano Dall'Anese:
Prediction-Correction Algorithms for Time-Varying Constrained Optimization. IEEE Trans. Signal Process. 65(20): 5481-5494 (2017) - [c23]Emiliano Dall'Anese, Andrey Bernstein, Andrea Simonetto:
Feedback-based projected-gradient method for real-time optimization of aggregations of energy resources. GlobalSIP 2017: 1040-1044 - [i12]Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus:
Filtering Random Graph Processes Over Random Time-Varying Graphs. CoRR abs/1705.00442 (2017) - [i11]Xinyang Zhou, Emiliano Dall'Anese, Lijun Chen, Andrea Simonetto:
An Incentive-based Online Optimization Framework for Distribution Grids. CoRR abs/1705.01482 (2017) - [i10]Rocio Arroyo-Valles, Andrea Simonetto, Geert Leus:
Consistent Sensor, Relay, and Link Selection in Wireless Sensor Networks. CoRR abs/1705.02298 (2017) - 2016
- [j9]Andrea Simonetto, Hadi Jamali Rad:
Primal Recovery from Consensus-Based Dual Decomposition for Distributed Convex Optimization. J. Optim. Theory Appl. 168(1): 172-197 (2016) - [j8]Venkat Roy, Andrea Simonetto, Geert Leus:
Spatio-temporal sensor management for environmental field estimation. Signal Process. 128: 369-381 (2016) - [j7]Andrea Simonetto, Aryan Mokhtari, Alec Koppel, Geert Leus, Alejandro Ribeiro:
A Class of Prediction-Correction Methods for Time-Varying Convex Optimization. IEEE Trans. Signal Process. 64(17): 4576-4591 (2016) - [c22]Emiliano Dall'Anese, Andrea Simonetto, Sairaj V. Dhople:
Design of distributed controllers seeking optimal power flow solutions under communication constraints. CDC 2016: 7489-7495 - [c21]Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro:
A Quasi-newton prediction-correction method for decentralized dynamic convex optimization. ECC 2016: 1934-1939 - [c20]Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus:
Separable autoregressive moving average graph-temporal filters. EUSIPCO 2016: 200-204 - [i9]Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro:
Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization. CoRR abs/1602.01716 (2016) - [i8]Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus:
Distributed Time-Varying Graph Filtering. CoRR abs/1602.04436 (2016) - 2015
- [j6]Andreas Loukas, Andrea Simonetto, Geert Leus:
Distributed Autoregressive Moving Average Graph Filters. IEEE Signal Process. Lett. 22(11): 1931-1935 (2015) - [j5]Hadi Jamali Rad, Andrea Simonetto, Xiaoli Ma, Geert Leus:
Distributed Sparsity-Aware Sensor Selection. IEEE Trans. Signal Process. 63(22): 5951-5964 (2015) - [c19]Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro:
Prediction-correction methods for time-varying convex optimization. ACSSC 2015: 666-670 - [c18]Elvin Isufi, Andrea Simonetto, Andreas Loukas, Geert Leus:
Stochastic graph filtering on time-varying graphs. CAMSAP 2015: 89-92 - [c17]Andrea Simonetto, Geert Leus:
On non-differentiable time-varying optimization. CAMSAP 2015: 505-508 - [c16]Andrea Simonetto, Aryan Mokhtari, Alec Koppel, Geert Leus, Alejandro Ribeiro:
A decentralized prediction-correction method for networked time-varying convex optimization. CAMSAP 2015: 509-512 - [c15]Alec Koppel, Andrea Simonetto, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro:
Target tracking with dynamic convex optimization. GlobalSIP 2015: 1210-1214 - [c14]Omar Schiaratura, Pietro Ansaloni, Giovanni Lughi, Mattia Neri, Matteo Roffilli, Fabrizio Serpi, Andrea Simonetto:
SoC-Based Pattern Recognition Systems for Non Destructive Testing. MOD 2015: 209-221 - [i7]Andreas Loukas, Andrea Simonetto, Geert Leus:
Distributed Autoregressive Moving Average Graph Filters. CoRR abs/1508.05808 (2015) - [i6]Andrea Simonetto, Aryan Mokhtari, Alec Koppel, Geert Leus, Alejandro Ribeiro:
A Class of Prediction-Correction Methods for Time-Varying Convex Optimization. CoRR abs/1509.05196 (2015) - 2014
- [j4]Hadi Jamali Rad, Andrea Simonetto, Geert Leus:
Sparsity-Aware Sensor Selection: Centralized and Distributed Algorithms. IEEE Signal Process. Lett. 21(2): 217-220 (2014) - [j3]Andrea Simonetto, Geert Leus:
Distributed Maximum Likelihood Sensor Network Localization. IEEE Trans. Signal Process. 62(6): 1424-1437 (2014) - [c13]Andrea Simonetto, Geert Leus:
Distributed asynchronous time-varying constrained optimization. ACSSC 2014: 2142-2146 - [c12]Hadi Jamali Rad, Andrea Simonetto, Geert Leus, Xiaoli Ma:
Sparsity-aware sensor selection for correlated noise. FUSION 2014: 1-7 - [c11]Andrea Simonetto, Geert Leus:
Double smoothing for time-varying distributed multiuser optimization. GlobalSIP 2014: 852-856 - [c10]Andrea Simonetto, Geert Leus:
A moving horizon convex relaxation for mobile sensor network localization. SAM 2014: 25-28 - [i5]Andrea Simonetto, Leon Kester, Geert Leus:
Distributed Time-Varying Stochastic Optimization and Utility-Based Communication. CoRR abs/1408.5294 (2014) - 2013
- [j2]Andrea Simonetto, Tamás Keviczky, Robert Babuska:
Constrained distributed algebraic connectivity maximization in robotic networks. Autom. 49(5): 1348-1357 (2013) - [j1]Mehdi Chitchian, Andrea Simonetto, Alexander S. van Amesfoort, Tamás Keviczky:
Distributed Computation Particle Filters on GPU Architectures for Real-Time Control Applications. IEEE Trans. Control. Syst. Technol. 21(6): 2224-2238 (2013) - [c9]Sundeep Prabhakar Chepuri, Andrea Simonetto, Geert Leus, Alle-Jan van der Veen:
Tracking position and orientation of a mobile rigid body. CAMSAP 2013: 37-40 - [c8]Mehdi Chitchian, Alexander S. van Amesfoort, Andrea Simonetto, Tamás Keviczky, Henk J. Sips:
Adapting Particle Filter Algorithms to Many-Core Architectures. IPDPS 2013: 427-438 - [i4]Andrea Simonetto, Geert Leus:
On Distributed Optimization, Convex Relaxations, and Sensor Network Localization Problems. CoRR abs/1309.2502 (2013) - [i3]Andrea Simonetto:
Indagini in Deep Inference. CoRR abs/1311.5006 (2013) - 2012
- [b1]Andrea Simonetto:
Distributed Estimation and Control for Robotic Networks. Delft University of Technology, Netherlands, 2012 - [c7]Andrea Simonetto, Tamás Keviczky, Dimos V. Dimarogonas:
Distributed solution for a Maximum Variance Unfolding Problem with sensor and robotic network applications. Allerton Conference 2012: 63-70 - [c6]Andrea Simonetto, Tamás Keviczky, Mikael Johansson:
A regularized saddle-point algorithm for networked optimization with resource allocation constraints. CDC 2012: 7476-7481 - [i2]Andrea Simonetto, Tamás Keviczky, Robert Babuska:
Constrained Distributed Algebraic Connectivity Maximization in Robotic Networks. CoRR abs/1206.3460 (2012) - [i1]Andrea Simonetto, Tamás Keviczky, Mikael Johansson:
A Regularized Saddle-Point Algorithm for Networked Optimization with Resource Allocation Constraints. CoRR abs/1208.1180 (2012) - 2011
- [c5]Andrea Simonetto, Tamás Keviczky, Robert Babuska:
On distributed maximization of algebraic connectivity in robotic networks. ACC 2011: 2180-2185 - [c4]Andrea Simonetto, Tamás Keviczky:
Distributed multi-target tracking via mobile robotic networks: A localized non-iterative SDP approach. CDC/ECC 2011: 4226-4231 - 2010
- [c3]Andrea Simonetto, Tamás Keviczky, Robert Babuska:
Distributed Algebraic Connectivity Maximization for Robotic Networks: A Heuristic Approach. DARS 2010: 267-279 - [c2]Andrea Simonetto, Tamás Keviczky, Robert Babuska:
Distributed nonlinear estimation for robot localization using weighted consensus. ICRA 2010: 3026-3031
2000 – 2009
- 2008
- [c1]Andrea Simonetto, Paul Scerri, Katia P. Sycara:
A mobile network for mobile sensors. FUSION 2008: 1-8
Coauthor Index
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