36 citations · 128 across the 27 of their papers we have counts for
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physics.ao-ph2019★ 1 cited
Detecting anthropogenic cloud perturbations with deep learning
Duncan Watson-Parris, Samuel Sutherland, Matthew Christensen +3
One of the most pressing questions in climate science is that of the effect of anthropogenic aerosol on the Earth's energy balance. Aerosols provide the `seeds' on which cloud drop…
stat.ML2019★ 21 cited
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows
Rob Cornish, Anthony L. Caterini, George Deligiannidis +1
We show that normalising flows become pathological when used to model targets whose supports have complicated topologies. In this scenario, we prove that a flow must become arbitra…