Author

Riccardo Massidda

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Preprint Sep 2026

Comparative analysis of Neural Networks approaches for Initial Orbit Determination of Near-Earth Objects

Initial Orbit Determination (IOD) from Very Short Arcs (VSAs) remains one of the most challenging open problems in asteroid surveillance and celestial mechanics. Classical methods require angular observations spanning a sufficient fraction of the orbit, and become ill-conditioned or fail outright when only a single obs...

Francesco Geroni, R. Paoli, Riccardo Massidda et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Identifying ODEs from Unstructured Data with Causal Representation Learning

We study the problem of recovering the governing ODE of a dynamical system from unstructured, high-dimensional observations such as images. Existing methods for ODE discovery typically assume direct measurements of the variables, or do not provide theoretical guarantees on the learned variables and equations. While Cau...

Alessandro Trenta, Riccardo Massidda, D. Bacciu et al. · 0 citations