Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks.
Ferran Hernandez CaraltGuillermo Bernárdez GilIulia DutaPietro LiòEduard Alarcón-CotPublished in: CoRR (2024)
Keyphrases
- diffusion processes
- inductive bias
- diffusion process
- inductive learning
- machine learning
- information diffusion
- pac learning
- partial differential equations
- denoising
- supervised learning
- prior knowledge
- domain knowledge
- training examples
- scale spaces
- hypothesis space
- anisotropic diffusion
- scale space
- multitask learning
- diffusion equation
- training data
- total variation
- structure tensor
- training set
- image sequences
- active learning
- domain theory
- small number
- image restoration
- model selection