49 citations · 156 across the 29 of their papers we have counts for
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cs.LG2022
Identifying latent distances with Finslerian geometry
Alison Pouplin, David Eklund, Carl Henrik Ek +1
Riemannian geometry provides us with powerful tools to explore the latent space of generative models while preserving the underlying structure of the data. The latent space can be…
physics.ao-ph2022
A locally time-invariant metric for climate model ensemble predictions of extreme risk
Mala Virdee, Markus Kaiser, Emily Shuckburgh +2
Adaptation-relevant predictions of climate change are often derived by combining climate model simulations in a multi-model ensemble. Model evaluation methods used in performance-b…