4 papers
Towards detailed and interpretable hybrid modeling of continental-scale bird migration
Fiona Lippert, Bart Kranstauber, Patrick Forré +1
Hybrid modeling aims to augment traditional theory-driven models with machine learning components that learn unknown parameters, sub-models or correction terms from data. In this w…
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems
Fiona Lippert, Bart Kranstauber, E. Emiel van Loon +1
Probabilistic inference in high-dimensional state-space models is computationally challenging. For many spatiotemporal systems, however, prior knowledge about the dependency struct…
Physics-informed inference of aerial animal movements from weather radar data
Fiona Lippert, Bart Kranstauber, E. Emiel van Loon +1
Studying animal movements is essential for effective wildlife conservation and conflict mitigation. For aerial movements, operational weather radars have become an indispensable da…
From birds to bacteria: generalised velocity jump processes with resting states
Jake P. Taylor-King, Emiel van Loon, Gabriel Rosser +1
There are various cases of animal movement where behaviour broadly switches between two modes of operation, corresponding to a long distance movement state and a resting or local m…