research
∙
04/10/2023
Reflected Diffusion Models
Score-based diffusion models learn to reverse a stochastic differential ...
share
research
∙
11/25/2021
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Disobeying the classical wisdom of statistical learning theory, modern d...
research
∙
07/19/2021
Equivariant Manifold Flows
Tractably modelling distributions over manifolds has long been an import...
research
∙
06/18/2020
Neural Manifold Ordinary Differential Equations
To better conform to data geometry, recent deep generative modelling tec...
research
∙
02/29/2020
Differentiating through the Fréchet Mean
Recent advances in deep representation learning on Riemannian manifolds ...
research
∙
12/04/2018