Publications

Journal Publications

Alexander Davydov, Veronica Centorrino, Anand Gokhale, Giovanni Russo, and Francesco Bullo. “Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach,” IEEE Transactions on Automatic Control, pp. 1-15, June 2025, URL.
Veronica Centorrino, Alexander Davydov, Anand Gokhale, Giovanni Russo, and Francesco Bullo. “On Weakly Contracting Dynamics for Convex Optimization,” IEEE Control Systems Letters, vol. 8, pp. 1745-1750, June 2024, doi: 10.1109/LCSYS.2024.3414348, URL.
Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, and Francesco Bullo. “Positive Competitive Networks for Sparse Reconstruction,” Neural Computation, May 2024, 36 (6): 1163–1197, URL.
Veronica Centorrino, Francesco Bullo, and Giovanni Russo. “Modelling and Contractivity of Neural-Synaptic Networks with Hebbian Learning,” Automatica, 2024, 164: 111636, URL.
Veronica Centorrino, Anand Gokhale, Alexander Davydov, Giovanni Russo, and Francesco Bullo. “Euclidean Contractivity of Neural Networks With Symmetric Weights,” IEEE Control Systems Letters, vol. 7, pp. 1724-1729, May 2023, URL.
Veronica Centorrino, Giuseppe Bilotta, Annalisa Cappello, Gaetana Ganci, Claudia Corradino, Ciro Del Negro. “A Particle Swarm Optimization–Based Heuristic to Optimize the Configuration of Artificial Barriers for the Mitigation of Lava Flow Risk”, Environmental Modelling & Software, May 2021, URL.

Veronica Centorrino, Francesco Bullo, and Giovanni Russo. “Contraction Analysis of Hopfield Neural Networks with Hebbian Learning,” IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico, 2022, pp. 622-627, URL.

Veronica Centorrino, Francesco Bullo, and Giovanni Russo. “Similarity Matching Networks: Hebbian Learning and Convergence Over Multiple Time Scales”, 2025, arXiv.
Veronica Centorrino, Francesca Rossi, Francesco Bullo, and Giovanni Russo. “Proximal Gradient Dynamics and Feedback Control for Equality-Constrained Composite Optimization”, 2025, arXiv.