2 citations · 2 across the 1 of their papers we have counts for
3 papers
Semi-linear Poisson-mediated Flocking in a Cucker-Smale Model
Christos N. Mavridis, Amoolya Tirumalai, John S. Baras +1
We propose a family of compactly supported parametric interaction functions in the general Cucker-Smale flocking dynamics such that the mean-field macroscopic system of mass and mo…
Interpretable machine learning models: a physics-based view
Ion Matei, Johan de Kleer, Christoforos Somarakis +2
To understand changes in physical systems and facilitate decisions, explaining how model predictions are made is crucial. We use model-based interpretability, where models of physi…
Hybrid modeling: Applications in real-time diagnosis
Ion Matei, Johan de Kleer, Alexander Feldman +2
Reduced-order models that accurately abstract high fidelity models and enable faster simulation is vital for real-time, model-based diagnosis applications. In this paper, we outlin…