Author

Manon Béchaz

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Open access Aug 2026

CoDiT: conditional diffusion models for multi-day ocean drifter trajectory prediction

This work frames trajectory prediction as a denoising task and presents Conditional Diffusion models for Trajectories (CoDiT), which adapts the denoising diffusion framework, originally developed for image synthesis, to the problem of trajectory forecasting.

Christian Donner, Shirin Goshtasbpour, Emanuele Dalsasso et al. · Machine Learning: Earth · 0 citations