Giulia De Pasquale

According to our database, Giulia De Pasquale authored at least 28 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Beyond Distributive Justice: Hermeneutical Fairness in Ad Delivery.

Camilla Quaresmini, Valentina Breschi, Jessica Leoni, Viola Schiaffonati, Mara Tanelli, Giulia De Pasquale

CoRR, May, 2026

Recommender Systems as Control Systems.

Giulia De Pasquale, Sarah Dean, Paolo Frasca

CoRR, May, 2026

Network-Aware Recommender System via Online Feedback Optimization.

Sanjay Chandrasekaran, Giulia De Pasquale, Giuseppe Belgioioso, Florian Dörfler

IEEE Trans. Autom. Control., March, 2026

Socially-Aware Recommender Systems Mitigate Opinion Clusterization.

Lukas Schüepp, Carmen Amo Alonso, Florian Dörfler, Giulia De Pasquale

CoRR, January, 2026

2025

Learning to Control Misinformation: a Closed-loop Approach for Misinformation Mitigation over Social Networks.

Nicolò Pagan, Andreas Philippou, Giulia De Pasquale

CoRR, November, 2025

Data-driven Control of Hypergraphs: Leveraging THIS to Damp Noise in Diffusive Hypergraphs.

Robin Delabays, Yuanzhao Zhang, Florian Dörfler, Giulia De Pasquale

CoRR, November, 2025

Distributed Time-Varying Gaussian Regression via Kalman Filtering.

Nicola Taddei, Riccardo Maggioni, Jaap Eising, Giulia De Pasquale, Florian Dörfler

CoRR, April, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

System Level Synthesis for Affine Control Policies: Model-Based and Data-Driven Settings.

Lukas Schüepp, Giulia De Pasquale, Florian Dörfler, Carmen Amo Alonso

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024

Dual Seminorms, Ergodic Coefficients and Semicontraction Theory.

Giulia De Pasquale, Kevin D. Smith, Francesco Bullo, Maria Elena Valcher

IEEE Trans. Autom. Control., May, 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

Mitigating Polarization in Recommender Systems via Network-aware Feedback Optimization.

Sanjay Chandrasekaran, Giulia De Pasquale, Giuseppe Belgioioso, Florian Dörfler

CoRR, 2024

Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel.

Jialin Li, Marta Zagórowska, Giulia De Pasquale, Alisa Rupenyan, John Lygeros

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Fairness in Social Influence Maximization via Optimal Transport.

Shubham Chowdhary, Giulia De Pasquale, Nicolas Lanzetti, Ana-Andreea Stoica, Florian Dörfler

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

On the herdability of linear time-invariant systems with special topological structures.

Giulia De Pasquale, Maria Elena Valcher

Autom., March, 2023

Closing the Loop: Feedback Loops and Biases in Automated Decision-Making.

Nicolò Pagan, Joachim Baumann, Ezzat Elokda, Giulia De Pasquale, Saverio Bolognani, Anikó Hannák

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems.

Nicolò Pagan, Joachim Baumann, Ezzat Elokda, Giulia De Pasquale, Saverio Bolognani, Anikó Hannák

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

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

Ergodicity Coefficients are Induced Matrix Seminorms.

Giulia De Pasquale, Francesco Bullo, Maria Elena Valcher

CoRR, 2022

Consensus for clusters of agents with cooperative and antagonistic relationships.

Giulia De Pasquale, Maria Elena Valcher

Autom., 2022

Modeling the Cooperative Process of Learning a Task.

Giulia De Pasquale, Maria Elena Valcher

Proceedings of the European Control Conference, 2022

Multi-dimensional extensions of the Hegselmann-Krause model.

Giulia De Pasquale, Maria Elena Valcher

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

A Binary Homophily Model for Opinion Dynamics.

Giulia De Pasquale, Maria Elena Valcher

Proceedings of the 2021 European Control Conference, 2021

Algebraic and Graph-Theoretic Conditions for the Herdability of Linear Time-Invariant Systems.

Giulia De Pasquale, Maria Elena Valcher

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Tripartite and Sign Consensus for Clustering Balanced Social Networks.

Giulia De Pasquale, Maria Elena Valcher

Proceedings of the 2021 American Control Conference, 2021

2020

Consensus Problems on Clustered Networks.

Giulia De Pasquale, Maria Elena Valcher

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Extended Full Block S-Procedure for Distributed Control of Interconnected Systems.

Giulia De Pasquale, Yvonne R. Stürz, Maria Elena Valcher, Roy S. Smith

Proceedings of the 59th IEEE Conference on Decision and Control, 2020