Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models.
René HaasInbar Huberman-SpiegelglasRotem MulayoffTomer MichaeliPublished in: CoRR (2023)
Keyphrases
- diffusion models
- latent space
- diffusion model
- latent variables
- information diffusion
- social networks
- gaussian process
- lower dimensional
- dimensionality reduction
- generative model
- gaussian process latent variable models
- parameter space
- low dimensional
- manifold learning
- viral marketing
- transfer learning
- high dimensional
- feature space
- topic models
- distance metric
- gaussian processes
- machine learning