3 papers
cs.LG2025
Source-Guided Flow Matching
Zifan Wang, Alice Harting, Matthieu Barreau +2
Guidance of generative models is typically achieved by modifying the probability flow vector field through the addition of a guidance field. In this paper, we instead propose the S…
cs.LG2025
Online Traffic Density Estimation using Physics-Informed Neural Networks
Dennis Wilkman, Kateryna Morozovska, Karl Henrik Johansson +1
Recent works on the application of Physics-Informed Neural Networks to traffic density estimation have shown to be promising for future developments due to their robustness to mode…
math.OC2025
Closed-Loop Neural Operator-Based Observer of Traffic Density
Alice Harting, Karl Henrik Johansson, Matthieu Barreau
We consider the problem of traffic density estimation with sparse measurements from stationary roadside sensors. Our approach uses Fourier neural operators to learn macroscopic tra…