Geometric deep learning on the sphere: efficient generalized spherical CNNs


Date
Mar 2021
Event
UCL Centre for Doctoral Training (CDT) in Data Intensive Science (DIS) Seminar
Location
London
UK
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Jason McEwen
Professor of Astrostatistics

My research interests encompass a wide range of areas across scientific AI (including physics-enhanced AI, geometric AI, statistical AI, generative AI), astrostatistics, Bayesian inference, harmonic analysis, optimisation, and computational techniques. I focus mostly on scientific problems in astrophysics, primarily cosmology, but am also interested in problems in seismology, climate, medical imaging, and computer vision.