Diffusion Models for Constrained Domains
Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael John Hutchinson
Action editor: Rianne van den Berg.
#diffusion #denoising #riemannian
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics
Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Arto Klami
Action editor: Jasper Snoek.
#langevin #stochastic #riemannian
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics
#langevin #stochastic #riemannian
Does anyone here know whether there is a simpler way to prove the exponential map in simply connected negatively curved manifolds increases distances, without going through Rauch's comparasion theorem (whose statement and proof is quite complicated)?
Diffusion Models for Constrained Domains
#diffusion #denoising #riemannian
'Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds', by Didong Li, Wenpin Tang, Sudipto Banerjee.
http://jmlr.org/papers/v24/22-0503.html
#covariograms #riemannian #covariogram
#covariograms #riemannian #covariogram
'When Locally Linear Embedding Hits Boundary', by Hau-Tieng Wu, Nan Wu.
http://jmlr.org/papers/v24/21-0697.html
#embedding #manifold #riemannian
#embedding #manifold #riemannian
Identifying latent distances with Finslerian geometry
#metric #riemannian #stochastic
#Colour spaces cannot be represented by a #Riemannian Geometry! 😀
https://discover.lanl.gov/news/0810-color-perception/
#colour #riemannian #color #perception
Improved Differentially Private Riemannian Optimization: Fast Sampling and Variance Reduction
Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra
#riemannian #sampling #stochastic
Differentially Private Fréchet Mean on the Manifold of Symmetric Positive Definite (SPD) Matrices...
Saiteja Utpala, Praneeth Vepakomma, Nina Miolane
#riemannian #gaussian #privacy