Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry.
Yong-Hyun ParkMingi KwonJaewoong ChoiJunghyo JoYoungjung UhPublished in: CoRR (2023)
Keyphrases
- diffusion models
- latent space
- manifold learning
- low dimensional
- diffusion model
- latent variables
- information diffusion
- gaussian process
- social networks
- dimensionality reduction
- matrix factorization
- lower dimensional
- high dimensional
- influence maximization
- probabilistic latent semantic analysis
- gaussian processes
- euclidean space
- shape analysis
- anisotropic diffusion
- transfer learning
- high dimensional data
- upper bound
- feature vectors
- gaussian process latent variable models