Co-occurring keywords · papers mentioning both
Papers
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime
NeurIPS 2022
Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS
ICLR 2021
Large-width functional asymptotics for deep Gaussian neural networks
ICLR 2021
Multiwavelet-based Operator Learning for Differential Equations
NeurIPS 2021
On Linear Identifiability of Learned Representations
ICML 2021
Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics
ICML 2021
The Implicit Bias of Minima Stability: A View from Function Space
NeurIPS 2021
A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case
ICLR 2020
Function Space Particle Optimization for Bayesian Neural Networks
ICLR 2019
How do infinite width bounded norm networks look in function space?
COLT 2019
Measuring and regularizing networks in function space
ICLR 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space
CVPR 2019
On the Inductive Bias of Neural Tangent Kernels
NeurIPS 2019
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space
JMLR 2019
Characterizing the Function Space for Bayesian Kernel Models
JMLR 2007