108 citations · 375 across the 30 of their papers we have counts for
6 papers · 1 filter
Agent-Based Optimal Control for Image Processing
Alessio Oliviero, Simone Cacace, Giuseppe Visconti
We investigate the use of multi-agent systems to solve classical image processing tasks, such as colour quantization and segmentation. We frame the task as an optimal control probl…
Relaxation and stability analysis of a third-order multiclass traffic flow model
Stephan Gerster, Giuseppe Visconti
Traffic flow modeling spans a wide range of mathematical approaches, from microscopic descriptions of individual vehicle dynamics to macroscopic models based on aggregate quantitie…
Controllability of continuous networks and a kernel-based learning approximation
Michael Herty, Chiara Segala, Giuseppe Visconti
Residual deep neural networks are formulated as interacting particle systems leading to a description through neural differential equations, and, in the case of large input data, t…
Numerical boundary control for semilinear hyperbolic systems
Stephan Gerster, Felix Nagel, Aleksey Sikstel +1
This work is devoted to the design of boundary controls of physical systems that are described by semilinear hyperbolic balance laws. A computational framework is presented that yi…
Identifying trending coefficients with an ensemble Kalman filter
M. Schwenzer, G. Visconti, M. Ay +3
This paper extends the ensemble Kalman filter (EnKF) for inverse problems to identify trending model coefficients. This is done by repeatedly inflating the ensemble while maintaini…
Mean-Field and Kinetic Descriptions of Neural Differential Equations
M. Herty, T. Trimborn, G. Visconti
Nowadays, neural networks are widely used in many applications as artificial intelligence models for learning tasks. Since typically neural networks process a very large amount of…