267 citations · 1.2k across the 51 of their papers we have counts for
3 papers · 1 filter
Assessing local deformation and computing scalar curvature with nonlinear conformal regularization of decoders
Benjamin Couéraud, Vikram Sunkara, Christof Schütte
One aim of dimensionality reduction is to discover the main factors that explain the data, and as such is paramount to many applications. When working with high dimensional data, a…
Riemannian Denoising Diffusion Probabilistic Models
Zichen Liu, Wei Zhang, Christof Schütte +1
We propose Riemannian Denoising Diffusion Probabilistic Models (RDDPMs) for learning distributions on submanifolds of Euclidean space that are level sets of functions, including mo…
Neural parameter calibration and uncertainty quantification for epidemic forecasting
Thomas Gaskin, Tim Conrad, Grigorios A. Pavliotis +1
The recent COVID-19 pandemic has thrown the importance of accurately forecasting contagion dynamics and learning infection parameters into sharp focus. At the same time, effective…