R. Fablet

Generative Adversarial Networks (GAN) for the simulation of central-place foraging trajectories

This paper uses GAN to simulate central-place foraging trajectories, showing better performance than HMM in capturing large-scale statistical properties of animal movement.

Deep inference of seabird dives from GPS-only records: performance and generalization properties

This paper benchmarks deep learning models for predicting seabird dives from GPS data, showing better performance than traditional methods and strong cross-species generalization.