2 papers
cs.LG2025
Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories
Olav Finne Praesteng Larsen, Massimiliano Ruocco, Michail Spitieris +2
Access to trajectory data is a key requirement for developing and validating Air Traffic Management (ATM) solutions, yet many secondary and regional airports face severe data scarc…
stat.ML2025
PIGPVAE: Physics-Informed Gaussian Process Variational Autoencoders
Michail Spitieris, Massimiliano Ruocco, Abdulmajid Murad +1
Recent advances in generative AI offer promising solutions for synthetic data generation but often rely on large datasets for effective training. To address this limitation, we pro…