Traffic Reaction Model. - György Lipták; Mike Pereira; Balázs Kulcsár; Mihály Kovács; Gábor Szederkényi (CoRR, 2021)

Parameter and density estimation from real-world traffic data: A kinetic compartmental approach. - Mike Pereira; Pinar Boyraz Baykas; Balázs Kulcsár; Annika Lang (CoRR, 2021)

Galerkin-Chebyshev approximation of Gaussian random fields on compact Riemannian manifolds. - Annika Lang; Mike Pereira (CoRR, 2021)

Short-term traffic prediction using physics-aware neural networks. - Mike Pereira; Annika Lang; Balázs Kulcsár (CoRR, 2021)

Incremental Exponential Stability of the Unidirectional Flow Model. - Sondre Wiersdalen; Mike Pereira; Annika Lang; Gábor Szederkényi; Jean Auriol; Balázs Kulcsár (CoRR, 2023)

Data-Driven Distance Metrics for Kriging-Short-Term Urban Traffic State Prediction. - Balázs Varga; Mike Pereira; Balázs Kulcsár; Luigi Pariota; Tamás Péni (IEEE Trans. Intell. Transp. Syst., 2023)

Mean-square exponential stabilization of mixed-autonomy traffic PDE system. - Yihuai Zhang; Huan Yu; Jean Auriol; Mike Pereira (Autom., 2024)

Non-stationary Gaussian random fields on hypersurfaces: Sampling and strong error analysis. - Erik Jansson; Annika Lang; Mike Pereira (CoRR, 2024)

Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data. - Gabriel V. Cardoso; Mike Pereira (CoRR, 2025)