Extended Full Block S-Procedure for Distributed Control of Interconnected Systems. - Giulia De Pasquale; Yvonne R. Stürz; Maria Elena Valcher; Roy S. Smith (CDC, 2020)

Consensus Problems on Clustered Networks. - Giulia De Pasquale; Maria Elena Valcher (CDC, 2020)

Tripartite and Sign Consensus for Clustering Balanced Social Networks. - Giulia De Pasquale; Maria Elena Valcher (ACC, 2021)

Algebraic and Graph-Theoretic Conditions for the Herdability of Linear Time-Invariant Systems. - Giulia De Pasquale; Maria Elena Valcher (CDC, 2021)

A Binary Homophily Model for Opinion Dynamics. - Giulia De Pasquale; Maria Elena Valcher (ECC, 2021)

Multi-dimensional extensions of the Hegselmann-Krause model. - Giulia De Pasquale; Maria Elena Valcher (CDC, 2022)

Modeling the Cooperative Process of Learning a Task. - Giulia De Pasquale; Maria Elena Valcher (ECC, 2022)

Consensus for clusters of agents with cooperative and antagonistic relationships. - Giulia De Pasquale; Maria Elena Valcher (Autom., 2022)

Ergodicity Coefficients are Induced Matrix Seminorms. - Giulia De Pasquale; Francesco Bullo; Maria Elena Valcher (CoRR, 2022)

A Bandwagon Bias Based Model for Opinion Dynamics: Intertwining between Homophily and Influence Mechanisms. - Giulia De Pasquale; Maria Elena Valcher (Eur. J. Control, 2022)

A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems. - Nicolò Pagan; Joachim Baumann 002; Ezzat Elokda; Giulia De Pasquale; Saverio Bolognani; Anikó Hannák (EAAMO, 2023)

Closing the Loop: Feedback Loops and Biases in Automated Decision-Making. - Nicolò Pagan; Joachim Baumann 002; Ezzat Elokda; Giulia De Pasquale; Saverio Bolognani; Anikó Hannák (EWAF, 2023)

On the herdability of linear time-invariant systems with special topological structures. - Giulia De Pasquale; Maria Elena Valcher (Autom., 2023)

Fairness in Social Influence Maximization via Optimal Transport. - Shubham Chowdhary; Giulia De Pasquale; Nicolas Lanzetti; Ana-Andreea Stoica; Florian Dörfler (NeurIPS, 2024)

Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel. - Jialin Li; Marta Zagórowska; Giulia De Pasquale; Alisa Rupenyan; John Lygeros (NeurIPS, 2024)

Mitigating Polarization in Recommender Systems via Network-aware Feedback Optimization. - Sanjay Chandrasekaran; Giulia De Pasquale; Giuseppe Belgioioso; Florian Dörfler (CoRR, 2024)

Control Strategies for Recommendation Systems in Social Networks. - Ben Sprenger; Giulia De Pasquale; Raffaele Soloperto; John Lygeros; Florian Dörfler (IEEE Control. Syst. Lett., 2024)

Dual Seminorms, Ergodic Coefficients and Semicontraction Theory. - Giulia De Pasquale; Kevin D. Smith; Francesco Bullo; Maria Elena Valcher (IEEE Trans. Autom. Control., 2024)

Distributed time-varying Gaussian process regression via Kalman filtering. - Nicola Taddei; Riccardo Maggioni; Jaap Eising; Giulia De Pasquale; Florian Dörfler (Eur. J. Control, 2025)

Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design. - Marino Kühne; Panagiotis D. Grontas; Giulia De Pasquale; Giuseppe Belgioioso; Florian Dörfler; John Lygeros (CoRR, 2025)

System Level Synthesis for Affine Control Policies: Model Based and Data-Driven Settings. - Lukas Schüepp; Giulia De Pasquale; Florian Dörfler; Carmen Amo Alonso (CoRR, 2025)

Distributed Time-Varying Gaussian Regression via Kalman Filtering. - Nicola Taddei; Riccardo Maggioni; Jaap Eising; Giulia De Pasquale; Florian Dörfler (CoRR, 2025)