Leonardo Bardi

Wissenschaftlicher Mitarbeiter

TU Chemnitz

Biography

Leonardo Bardi is an academic researcher at TU Chemnitz. His research focuses on Statistical learning, Generalized Bayesian learning, Weak dependence, Stochastic Partial Differential Equations and Ambit Stochastics.

Research Interests

Publications

Probabilistic forecast for raster datasets: a theory-guided machine learning methodology based on spatio-temporal Ornstein-Uhlenbeck processes

L. Bardi, I.V. Curato, L. Proietti

Forthcoming, 2026

Spatio-temporal probabilistic forecast using MMAF-guided learning

L. Bardi, I.V. Curato, L. Proietti

Arxiv preprint, 2026

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Contact

Email: leonardo.bardi at mathematik.tu-chemnitz.de
Office: Reichenhainer Str. 41, Room C47.615
Phone: +49 (0371) 531-33788