Co-occurring keywords · papers mentioning both
Papers
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space
AAAI 2024
Geometry-aware Tracking of Manipulability Ellipsoids
RSS 2018
Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks
ICML 2018
On Fast Leverage Score Sampling and Optimal Learning
NeurIPS 2018
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold
CVPR 2016
Geometric Mean Metric Learning
ICML 2016
Matrix Manifold Optimization for Gaussian Mixtures
NeurIPS 2015
Geometric optimisation on positive definite matrices for elliptically contoured distributions
NeurIPS 2013
A new metric on the manifold of kernel matrices with application to matrix geometric means
NeurIPS 2012