Trustworthy Science in Remote Environments: A Neural Inference Pipeline for Modeling Sparse Spatial Data
Julia Walchessen1, Andrew Zammit-Mangion2, Raphaël Huser3 and Mikael Kuusela1, (1)Carnegie Mellon University, Department of Statistics and Data Science, Pittsburgh, United States, (2)School of Mathematics and Applied Statistics and Securing Antarctica’s Environmental Future, University of Wollongong, Wollongong, NSW, Australia, (3)King Abdullah University of Science and Technology, Computer, Electrical and Mathematical Sciences & Engineering, Thuwal, Saudi Arabia
