Andrea Simonetto

111 papers A* 2A 1C 6Misc 7Journal 71Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Concentration Inequalities for Semidefinite Least Squares Based on Data.
IEEE Signal Process. Lett.
Filippo Fabiani, Andrea Simonetto
2026 J jnl
Variational quantum algorithms for permutation-based combinatorial problems: Optimal ansatz generation with applications to quadratic assignment problems and beyond.
Quantum
Dylan Laplace Mermoud, Andrea Simonetto, Sourour Elloumi
2025 J jnl
Concentration inequalities for semidefinite least squares based on data.
CoRR
Filippo Fabiani, Andrea Simonetto
2025 J jnl
Efficient Quantum Circuits for Non-Unitary and Unitary Diagonal Operators with Space-Time-Accuracy Trade-Offs.
ACM Trans. Quantum Comput.
Julien Zylberman, Ugo Nzongani, Andrea Simonetto, Fabrice Debbasch
2025 J jnl
No-Regret Gaussian Process Optimization of Time-Varying Functions.
CoRR
Eliabelle Mauduit, Eloïse Berthier, Andrea Simonetto
2025 J jnl
Noisy-enhanced quantum search on complex networks.
CoRR
Ugo Nzongani, Andrea Simonetto, Giuseppe Di Molfetta
2025 — conf
Time-Varying Gaussian Process Bandit Optimization with Experts: No-Regret in Logarithmically-Many Side Queries.
ECML/PKDD (5)
Eliabelle Mauduit, Eloïse Berthier, Andrea Simonetto
2024 J jnl
Flexible Optimization for Cyber-Physical and Human Systems.
IEEE Control. Syst. Lett.
Andrea Simonetto
2024 J jnl
Incentives and Coevolution: Steering Linear Dynamical Systems With Noncooperative Agents.
IEEE Trans. Control. Netw. Syst.
Filippo Fabiani, Andrea Simonetto
2024 J jnl
MAPL: Model Agnostic Peer-to-peer Learning.
CoRR
Sayak Mukherjee, Andrea Simonetto, Hadi Jamali Rad
2023 J jnl
A Quantum Algorithm for the Sub-graph Isomorphism Problem.
ACM Trans. Quantum Comput.
Nicola Mariella, Andrea Simonetto
2023 Misc conf
Constrained Hierarchical Clustering via Graph Coarsening and Optimal Cuts.
ACSSC
Eliabelle Mauduit, Andrea Simonetto
2023 J jnl
Constrained Hierarchical Clustering via Graph Coarsening and Optimal Cuts.
CoRR
Eliabelle Mauduit, Andrea Simonetto
2023 J jnl
Distributed Personalized Gradient Tracking With Convex Parametric Models.
IEEE Trans. Autom. Control.
Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano
2023 J jnl
Extrapolation-Based Prediction-Correction Methods for Time-varying Convex Optimization.
Signal Process.
Nicola Bastianello, Ruggero Carli, Andrea Simonetto
2023 J jnl
Incentives and co-evolution: Steering linear dynamical systems with noncooperative agents.
CoRR
Filippo Fabiani, Andrea Simonetto
2023 — conf
Optimization Filters for Stochastic Time-Varying Convex Optimization.
ECC
Andrea Simonetto, Paolo Massioni
2023 Misc conf
Optimizing Variational Circuits for Higher-Order Binary Optimization.
QCE
Zoé Verchère, Sourour Elloumi, Andrea Simonetto
2023 J jnl
Personalized Incentives as Feedback Design in Generalized Nash Equilibrium Problems.
IEEE Trans. Autom. Control.
Filippo Fabiani, Andrea Simonetto, Paul J. Goulart
2023 J jnl
Time-Varying Optimization of Networked Systems With Human Preferences.
IEEE Trans. Control. Netw. Syst.
Ana M. Ospina, Andrea Simonetto, Emiliano Dall'Anese
2023 J jnl
Towards the Decarbonization of the Mobility Sector: Promoting Renewable-Based Charging in Green Ride-Sharing.
CoRR
Elisabetta Perotti, Ana M. Ospina, Gianluca Bianchin, Andrea Simonetto, Emiliano Dall'Anese
2022 C conf
Achievement and Fragility of Long-term Equitability.
AIES
Andrea Simonetto, Ivano Notarnicola
2022 J jnl
Achievement and Fragility of Long-term Equitability.
CoRR
Andrea Simonetto, Ivano Notarnicola
2022 J jnl
Best Approximate Quantum Compiling Problems.
ACM Trans. Quantum Comput.
Liam Madden, Andrea Simonetto
2022 — conf
Learning equilibria with personalized incentives in a class of nonmonotone games.
ECC
Filippo Fabiani, Andrea Simonetto, Paul J. Goulart
2022 — conf
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression.
L4DC
Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese
2022 J jnl
Optimal Power Flow Pursuit in the Alternating Current Model.
CoRR
Jie Liu, Antonio Bellon, Andrea Simonetto, Martin Takác, Jakub Marecek
2022 J jnl
Personalized incentives as feedback design in generalized Nash equilibrium problems.
CoRR
Filippo Fabiani, Andrea Simonetto, Paul J. Goulart
2022 Misc conf
Sketching the Best Approximate Quantum Compiling Problem.
QCE
Liam Madden, Albert Akhriev, Andrea Simonetto
2021 J jnl
Learning equilibria with personalized incentives in a class of nonmonotone games.
CoRR
Filippo Fabiani, Andrea Simonetto, Paul J. Goulart
2021 J jnl
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression.
CoRR
Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese
2021 J jnl
Personalized optimization with user's feedback.
Autom.
Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil, Andrey Bernstein
2021 J jnl
Time-Varying Optimization of Networked Systems with Human Preferences.
CoRR
Ana M. Ospina, Andrea Simonetto, Emiliano Dall'Anese
2020 J jnl
Distributed Personalized Gradient Tracking with Convex Parametric Models.
CoRR
Ivano Notarnicola, Andrea Simonetto, Francesco Farina, Giuseppe Notarstefano
2020 Misc conf
Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization.
ACSSC
Nicola Bastianello, Andrea Simonetto, Ruggero Carli
2020 J jnl
Dynamic Distribution State Estimation Using Synchrophasor Data.
IEEE Trans. Smart Grid
Jianhan Song, Emiliano Dall'Anese, Andrea Simonetto, Hao Zhu
2020 C conf
Inexact Online Proximal-gradient Method for Time-varying Convex Optimization.
ACC
Amirhossein Ajalloeian, Andrea Simonetto, Emiliano Dall'Anese
2020 J jnl
Optimization and Learning With Information Streams: Time-varying algorithms and applications.
IEEE Signal Process. Mag.
Emiliano Dall'Anese, Andrea Simonetto, Stephen Becker, Liam Madden
2020 — conf
Personalized Demand Response via Shape-Constrained Online Learning.
SmartGridComm
Ana M. Ospina, Andrea Simonetto, Emiliano Dall'Anese
2020 J jnl
Prediction-Correction Splittings for Time-Varying Optimization With Intermittent Observations.
IEEE Control. Syst. Lett.
Nicola Bastianello, Andrea Simonetto, Ruggero Carli
2020 J jnl
Primal and Dual Prediction-Correction Methods for Time-Varying Convex Optimization.
CoRR
Nicola Bastianello, Andrea Simonetto, Ruggero Carli
2020 A* conf
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise.
AAAI
Albert Akhriev, Jakub Marecek, Andrea Simonetto
2020 — conf
Smooth Strongly Convex Regression.
EUSIPCO
Andrea Simonetto
2020 J jnl
Smooth Strongly Convex Regression.
CoRR
Andrea Simonetto
2020 J jnl
Time-Varying Convex Optimization: Time-Structured Algorithms and Applications.
CoRR
Andrea Simonetto, Emiliano Dall'Anese, Santiago Paternain, Geert Leus, Georgios B. Giannakis
2020 J jnl
Time-Varying Convex Optimization: Time-Structured Algorithms and Applications.
Proc. IEEE
Andrea Simonetto, Emiliano Dall'Anese, Santiago Paternain, Geert Leus, Georgios B. Giannakis
2019 J jnl
A city-scale IoT-enabled ridesharing platform.
CoRR
Claudio Gambella, Julien Monteil, Anton Dekusar, Sergio Cabrero Barros, Andrea Simonetto, Yassine Lassoued
2019 J jnl
Dual Prediction-Correction Methods for Linearly Constrained Time-Varying Convex Programs.
IEEE Trans. Autom. Control.
Andrea Simonetto
2019 J jnl
Inexact Online Proximal-gradient Method for Time-varying Convex Optimization.
CoRR
Amirhossein Ajalloeian, Andrea Simonetto, Emiliano Dall'Anese
2019 J jnl
On the Convergence of the Inexact Running Krasnosel'skiĭ-Mann Method.
IEEE Control. Syst. Lett.
Emiliano Dall'Anese, Andrea Simonetto, Andrey Bernstein
2019 J jnl
On the needs for MaaS platforms to handle competition in ridesharing mobility.
CoRR
Venktesh Pandey, Julien Monteil, Claudio Gambella, Andrea Simonetto
2019 J jnl
Online Primal-Dual Methods With Measurement Feedback for Time-Varying Convex Optimization.
IEEE Trans. Signal Process.
Andrey Bernstein, Emiliano Dall'Anese, Andrea Simonetto
2019 J jnl
Optimization and Learning with Information Streams: Time-varying Algorithms and Applications.
CoRR
Emiliano Dall'Anese, Andrea Simonetto, Stephen Becker, Liam Madden
2019 J jnl
Personalized Optimization with User's Feedback.
CoRR
Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil, Andrey Bernstein
2019 — conf
Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization.
ECC
Nicola Bastianello, Andrea Simonetto, Ruggero Carli
2019 Misc conf
Prediction-correction for Nonsmooth Time-varying Optimization via Forward-backward Envelopes.
ICASSP
Nicola Bastianello, Andrea Simonetto, Ruggero Carli
2018 J jnl
An Incentive-Based Online Optimization Framework for Distribution Grids.
IEEE Trans. Autom. Control.
Xinyang Zhou, Emiliano Dall'Anese, Lijun Chen, Andrea Simonetto
2018 J jnl
Optimal Power Flow Pursuit.
IEEE Trans. Smart Grid
Emiliano Dall'Anese, Andrea Simonetto
2018 C conf
Prediction-Correction Dual Ascent for Time-Varying Convex Programs.
ACC
Andrea Simonetto
2018 J jnl
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise.
CoRR
Albert Akhriev, Jakub Marecek, Andrea Simonetto
2018 J jnl
Spatio-Temporal Field Estimation Using Kriged Kalman Filter (KKF) with Sparsity-Enforcing Sensor Placement.
Sensors
Venkat Roy, Andrea Simonetto, Geert Leus
2017 J jnl
An Incentive-based Online Optimization Framework for Distribution Grids.
CoRR
Xinyang Zhou, Emiliano Dall'Anese, Lijun Chen, Andrea Simonetto
2017 J jnl
Autoregressive Moving Average Graph Filtering.
IEEE Trans. Signal Process.
Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus
2017 J jnl
Consistent Sensor, Relay, and Link Selection in Wireless Sensor Networks.
CoRR
Rocio Arroyo-Valles, Andrea Simonetto, Geert Leus
2017 J jnl
Consistent sensor, relay, and link selection in wireless sensor networks.
Signal Process.
Rocio Arroyo-Valles, Andrea Simonetto, Geert Leus
2017 J jnl
Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization.
IEEE Trans. Autom. Control.
Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro
2017 — conf
Feedback-based projected-gradient method for real-time optimization of aggregations of energy resources.
GlobalSIP
Emiliano Dall'Anese, Andrey Bernstein, Andrea Simonetto
2017 J jnl
Filtering Random Graph Processes Over Random Time-Varying Graphs.
CoRR
Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus
2017 J jnl
Filtering Random Graph Processes Over Random Time-Varying Graphs.
IEEE Trans. Signal Process.
Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus
2017 J jnl
Prediction-Correction Algorithms for Time-Varying Constrained Optimization.
IEEE Trans. Signal Process.
Andrea Simonetto, Emiliano Dall'Anese
2016 J jnl
A Class of Prediction-Correction Methods for Time-Varying Convex Optimization.
IEEE Trans. Signal Process.
Andrea Simonetto, Aryan Mokhtari, Alec Koppel, Geert Leus, Alejandro Ribeiro
2016 — conf
A Quasi-newton prediction-correction method for decentralized dynamic convex optimization.
ECC
Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro
2016 J jnl
Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization.
CoRR
Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro
2016 — conf
Design of distributed controllers seeking optimal power flow solutions under communication constraints.
CDC
Emiliano Dall'Anese, Andrea Simonetto, Sairaj V. Dhople
2016 J jnl
Distributed Time-Varying Graph Filtering.
CoRR
Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus
2016 J jnl
Primal Recovery from Consensus-Based Dual Decomposition for Distributed Convex Optimization.
J. Optim. Theory Appl.
Andrea Simonetto, Hadi Jamali Rad
2016 — conf
Separable autoregressive moving average graph-temporal filters.
EUSIPCO
Elvin Isufi, Andreas Loukas, Andrea Simonetto, Geert Leus
2016 J jnl
Spatio-temporal sensor management for environmental field estimation.
Signal Process.
Venkat Roy, Andrea Simonetto, Geert Leus
2015 J jnl
A Class of Prediction-Correction Methods for Time-Varying Convex Optimization.
CoRR
Andrea Simonetto, Aryan Mokhtari, Alec Koppel, Geert Leus, Alejandro Ribeiro
2015 — conf
A decentralized prediction-correction method for networked time-varying convex optimization.
CAMSAP
Andrea Simonetto, Aryan Mokhtari, Alec Koppel, Geert Leus, Alejandro Ribeiro
2015 J jnl
Distributed Autoregressive Moving Average Graph Filters.
CoRR
Andreas Loukas, Andrea Simonetto, Geert Leus
2015 J jnl
Distributed Autoregressive Moving Average Graph Filters.
IEEE Signal Process. Lett.
Andreas Loukas, Andrea Simonetto, Geert Leus
2015 J jnl
Distributed Sparsity-Aware Sensor Selection.
IEEE Trans. Signal Process.
Hadi Jamali Rad, Andrea Simonetto, Xiaoli Ma, Geert Leus
2015 — conf
On non-differentiable time-varying optimization.
CAMSAP
Andrea Simonetto, Geert Leus
2015 Misc conf
Prediction-correction methods for time-varying convex optimization.
ACSSC
Andrea Simonetto, Alec Koppel, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro
2015 — conf
SoC-Based Pattern Recognition Systems for Non Destructive Testing.
MOD
Omar Schiaratura, Pietro Ansaloni, Giovanni Lughi, Mattia Neri, Matteo Roffilli, Fabrizio Serpi, Andrea Simonetto
2015 — conf
Stochastic graph filtering on time-varying graphs.
CAMSAP
Elvin Isufi, Andrea Simonetto, Andreas Loukas, Geert Leus
2015 — conf
Target tracking with dynamic convex optimization.
GlobalSIP
Alec Koppel, Andrea Simonetto, Aryan Mokhtari, Geert Leus, Alejandro Ribeiro
2014 — conf
A moving horizon convex relaxation for mobile sensor network localization.
SAM
Andrea Simonetto, Geert Leus
2014 J jnl
Distributed Maximum Likelihood Sensor Network Localization.
IEEE Trans. Signal Process.
Andrea Simonetto, Geert Leus
2014 J jnl
Distributed Time-Varying Stochastic Optimization and Utility-Based Communication.
CoRR
Andrea Simonetto, Leon Kester, Geert Leus
2014 Misc conf
Distributed asynchronous time-varying constrained optimization.
ACSSC
Andrea Simonetto, Geert Leus
2014 — conf
Double smoothing for time-varying distributed multiuser optimization.
GlobalSIP
Andrea Simonetto, Geert Leus
2014 J jnl
Sparsity-Aware Sensor Selection: Centralized and Distributed Algorithms.
IEEE Signal Process. Lett.
Hadi Jamali Rad, Andrea Simonetto, Geert Leus
2014 C conf
Sparsity-aware sensor selection for correlated noise.
FUSION
Hadi Jamali Rad, Andrea Simonetto, Geert Leus, Xiaoli Ma
2013 A conf
Adapting Particle Filter Algorithms to Many-Core Architectures.
IPDPS
Mehdi Chitchian, Alexander S. van Amesfoort, Andrea Simonetto, Tamás Keviczky, Henk J. Sips
2013 J jnl
Constrained distributed algebraic connectivity maximization in robotic networks.
Autom.
Andrea Simonetto, Tamás Keviczky, Robert Babuska
2013 J jnl
Distributed Computation Particle Filters on GPU Architectures for Real-Time Control Applications.
IEEE Trans. Control. Syst. Technol.
Mehdi Chitchian, Andrea Simonetto, Alexander S. van Amesfoort, Tamás Keviczky
2013 J jnl
Indagini in Deep Inference.
CoRR
Andrea Simonetto
2013 J jnl
On Distributed Optimization, Convex Relaxations, and Sensor Network Localization Problems.
CoRR
Andrea Simonetto, Geert Leus
2013 — conf
Tracking position and orientation of a mobile rigid body.
CAMSAP
Sundeep Prabhakar Chepuri, Andrea Simonetto, Geert Leus, Alle-Jan van der Veen
2012 J jnl
A Regularized Saddle-Point Algorithm for Networked Optimization with Resource Allocation Constraints
CoRR
Andrea Simonetto, Tamás Keviczky, Mikael Johansson
2012 — conf
A regularized saddle-point algorithm for networked optimization with resource allocation constraints.
CDC
Andrea Simonetto, Tamás Keviczky, Mikael Johansson
2012 J jnl
Constrained Distributed Algebraic Connectivity Maximization in Robotic Networks
CoRR
Andrea Simonetto, Tamás Keviczky, Robert Babuska
2012 — —
Distributed Estimation and Control for Robotic Networks.
Andrea Simonetto
2012 — conf
Distributed solution for a Maximum Variance Unfolding Problem with sensor and robotic network applications.
Allerton Conference
Andrea Simonetto, Tamás Keviczky, Dimos V. Dimarogonas
2011 — conf
Distributed multi-target tracking via mobile robotic networks: A localized non-iterative SDP approach.
CDC/ECC
Andrea Simonetto, Tamás Keviczky
2011 C conf
On distributed maximization of algebraic connectivity in robotic networks.
ACC
Andrea Simonetto, Tamás Keviczky, Robert Babuska
2010 — conf
Distributed Algebraic Connectivity Maximization for Robotic Networks: A Heuristic Approach.
DARS
Andrea Simonetto, Tamás Keviczky, Robert Babuska
2010 A* conf
Distributed nonlinear estimation for robot localization using weighted consensus.
ICRA
Andrea Simonetto, Tamás Keviczky, Robert Babuska
2008 C conf
A mobile network for mobile sensors.
FUSION
Andrea Simonetto, Paul Scerri, Katia P. Sycara