System identification for tide prediction in the Venetian lagoon. - Francesca Parise; Giorgio Picci (ECC, 2013)

Mean field constrained charging policy for large populations of Plug-in Electric Vehicles. - Francesca Parise; Marcello Colombino; Sergio Grammatico; John Lygeros (CDC, 2014)

On the reachable set of the controlled gene expression system. - Francesca Parise; Maria Elena Valcher; John Lygeros (CDC, 2014)

Grey-box techniques for the identification of a controlled gene expression model. - Francesca Parise; Jakob Ruess; John Lygeros (ECC, 2014)

Decentralized Convergence to Nash Equilibria in Constrained Mean Field Control. - Sergio Grammatico; Francesca Parise; Marcello Colombino; John Lygeros (CoRR, 2014)

Constrained linear quadratic deterministic mean field control: Decentralized convergence to Nash equilibria in large populations of heterogeneous agents. - Sergio Grammatico; Francesca Parise; John Lygeros (CDC, 2015)

Network aggregative games: Distributed convergence to Nash equilibria. - Francesca Parise; Basilio Gentile; Sergio Grammatico; John Lygeros (CDC, 2015)

On the use of hyperplane methods to compute the reachable set of controlled stochastic biochemical reaction networks. - Francesca Parise; Maria Elena Valcher; John Lygeros (CDC, 2015)

A Mean Field control approach for demand side management of large populations of Thermostatically Controlled Loads. - Sergio Grammatico; Basilio Gentile; Francesca Parise; John Lygeros (ECC, 2015)

On constrained mean field control for large populations of heterogeneous agents: Decentralized convergence to Nash equilibria. - Francesca Parise; Sergio Grammatico; Marcello Colombino; John Lygeros (ECC, 2015)

Network Aggregative Games and Distributed Mean Field Control via Consensus Theory. - Francesca Parise; Sergio Grammatico; Basilio Gentile; John Lygeros (CoRR, 2015)

Constrained deterministic leader-follower mean field control. - Lukas Möller; Basilio Gentile; Francesca Parise; Sergio Grammatico; John Lygeros (ACC, 2016)

Distributed computation of generalized Nash equilibria in quadratic aggregative games with affine coupling constraints. - Dario Paccagnan; Basilio Gentile; Francesca Parise; Maryam Kamgarpour; John Lygeros (CDC, 2016)

Reachability analysis for switched affine systems and its application to controlled stochastic biochemical reaction networks. - Francesca Parise; Maria Elena Valcher; John Lygeros (CDC, 2016)

Decentralized Convergence to Nash Equilibria in Constrained Deterministic Mean Field Control. - Sergio Grammatico; Francesca Parise; Marcello Colombino; John Lygeros (IEEE Trans. Autom. Control., 2016)

Learning dynamics in stochastic routing games. - Emily Meigs; Francesca Parise; Asuman E. Ozdaglar (Allerton, 2017)

Sensitivity analysis for network aggregative games. - Francesca Parise; Asuman E. Ozdaglar (CDC, 2017)

Centrality measures for graphons. - Marco Avella-Medina; Francesca Parise; Michael T. Schaub; Santiago Segarra (CoRR, 2017)

A distributed algorithm for average aggregative games with coupling constraints. - Francesca Parise; Basilio Gentile; John Lygeros (CoRR, 2017)

Computing the projected reachable set of switched affine systems: an application to systems biology. - Francesca Parise; Maria Elena Valcher; John Lygeros (CoRR, 2017)

On the Efficiency of Nash Equilibria in Charging Games. - Dario Paccagnan; Francesca Parise; John Lygeros (CoRR, 2018)

On the Efficiency of Nash Equilibria in Aggregative Charging Games. - Dario Paccagnan; Francesca Parise; John Lygeros (IEEE Control. Syst. Lett., 2018)

Computing the Projected Reachable Set of Stochastic Biochemical Reaction Networks Modeled by Switched Affine Systems. - Francesca Parise; Maria Elena Valcher; John Lygeros (IEEE Trans. Autom. Control., 2018)

Learning in repeated stochastic network aggregative games. - Emily Meigs; Francesca Parise; Asuman E. Ozdaglar (CDC, 2019)

Graphon Games. - Francesca Parise; Asuman E. Ozdaglar (EC, 2019)

A variational inequality framework for network games: Existence, uniqueness, convergence and sensitivity analysis. - Francesca Parise; Asuman E. Ozdaglar (Games Econ. Behav., 2019)

Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints. - Dario Paccagnan; Basilio Gentile; Francesca Parise; Maryam Kamgarpour; John Lygeros (IEEE Trans. Autom. Control., 2019)

Contagion in Graphons. - Selman Erol; Francesca Parise; Alexander Teytelboym (EC, 2020)

Distributed convergence to Nash equilibria in network and average aggregative games. - Francesca Parise; Sergio Grammatico; Basilio Gentile; John Lygeros (Autom., 2020)

Optimal dynamic information provision in traffic routing. - Emily Meigs; Francesca Parise; Asuman E. Ozdaglar; Daron Acemoglu (CoRR, 2020)

A Distributed Algorithm For Almost-Nash Equilibria of Average Aggregative Games With Coupling Constraints. - Francesca Parise; Basilio Gentile; John Lygeros (IEEE Trans. Control. Netw. Syst., 2020)

Centrality Measures for Graphons: Accounting for Uncertainty in Networks. - Marco Avella-Medina; Francesca Parise; Michael T. Schaub; Santiago Segarra (IEEE Trans. Netw. Sci. Eng., 2020)

Accelerated consensus in multi-agent networks via memory of local averages. - Aditya Bhaskar; Shriya Rangarajan; Vikram Shree; Mark E. Campbell; Francesca Parise (CDC, 2021)

Lockdown interventions in SIR models: Is the reproduction number the right control variable? - Leonardo Cianfanelli; Francesca Parise; Daron Acemoglu; Giacomo Como; Asuman E. Ozdaglar (CDC, 2021)

Analysis and Interventions in Large Network Games. - Francesca Parise; Asuman E. Ozdaglar (Annu. Rev. Control. Robotics Auton. Syst., 2021)

Optimal intervention in traffic networks. - Leonardo Cianfanelli; Giacomo Como; Asuman E. Ozdaglar; Francesca Parise (CoRR, 2021)

Designing for Robustness in Electric Grids via a General Effective Resistance Measure. - Shriya V. Nagpal; Gokul G. Nair; Francesca Parise; C. Lindsay Anderson (CoRR, 2022)

Data-Driven Approximations of Chance Constrained Programs in Nonstationary Environments. - Shuhao Yan; Francesca Parise; Eilyan Bitar (IEEE Control. Syst. Lett., 2022)

Fictitious Play in Zero-Sum Stochastic Games. - Muhammed O. Sayin; Francesca Parise; Asuman E. Ozdaglar (SIAM J. Control. Optim., 2022)

Estimation of Unknown Payoff Parameters in Large Network Games. - Feras Al Taha; Francesca Parise (ACC, 2023)

Gradient Dynamics in Linear Quadratic Network Games with Time-Varying Connectivity and Population Fluctuation. - Feras Al Taha; Kiran Rokade; Francesca Parise (CDC, 2023)

Graphon Games with Multiple Equilibria: Analysis and Computation. - Kiran Rokade; Francesca Parise (EC, 2023)

Designing Robust Networks of Coupled Phase Oscillators With Applications to the High Voltage Electric Grid. - Shriya V. Nagpal; Gokul G. Nair; Francesca Parise; C. Lindsay Anderson (IEEE Trans. Control. Netw. Syst., 2023)

Optimal Intervention in Transportation Networks. - Leonardo Cianfanelli; Giacomo Como; Asuman E. Ozdaglar; Francesca Parise (IEEE Trans. Autom. Control., 2023)

On the impact of coordinated fleets size on traffic efficiency. - Tommaso Toso; Francesca Parise; Paolo Frasca; Alain Y. Kibangou (CDC, 2024)

On the Asymptotic Convergence of Subgraph Generated Models. - Xinchen Xu; Francesca Parise (CoRR, 2024)

Learning in Time-Varying Monotone Network Games with Dynamic Populations. - Feras Al Taha; Kiran Rokade; Francesca Parise (CoRR, 2024)

Optimal adaptive testing for epidemic control: Combining molecular and serology tests. - Daron Acemoglu; Alireza Fallah 001; Andrea Giometto; Daniel P. Huttenlocher; Asuman E. Ozdaglar; Francesca Parise; Sarath Pattathil (Autom., 2024)

Asymmetric Network Games: α-Potential Function and Learning. - Kiran Rokade; Adit Jain; Francesca Parise; Vikram Krishnamurthy; Éva Tardos (CoRR, 2025)

Behavioral-feedback SIR epidemic model: analysis and control. - Martina Alutto; Leonardo Cianfanelli; Giacomo Como; Fabio Fagnani; Francesca Parise (CoRR, 2025)