79 citations · 79 across the 3 of their papers we have counts for
3 papers
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…
Monitoring wild animal communities with arrays of motion sensitive camera traps
Roland Kays, Sameer Tilak, Bart Kranstauber +6
Studying animal movement and distribution is of critical importance to addressing environmental challenges including invasive species, infectious diseases, climate and land-use cha…