On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels.
Amnon GeifmanMeirav GalunDavid JacobsRonen BasriPublished in: NeurIPS (2022)
Keyphrases
- gaussian process
- gaussian processes
- network architecture
- covariance function
- gaussian process classification
- reproducing kernel hilbert space
- gaussian process regression
- regression model
- hyperparameters
- approximate inference
- model selection
- bayesian framework
- support vector
- neural network
- latent variables
- gaussian process models
- semi supervised
- kernel methods
- sparse approximations
- sparse coding
- expectation propagation
- kernel function
- non stationary
- linear combination
- image processing
- closed form
- human pose estimation
- upper bound
- prior knowledge