Co-occurring keywords · papers mentioning both
Papers
How Good Are Inducing Points for Dataset Distillation? (Student Abstract)
AAAI 2026
Rademacher complexity of neural ODEs via Chen-Fliess series
L4DC 2024
A Neural Tangent Kernel Perspective of GANs
ICML 2022
Eigenspace Restructuring: A Principle of Space and Frequency in Neural Networks
COLT 2022
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
ICML 2022
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks
NeurIPS 2022
The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization
NeurIPS 2022
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
AAAI 2021
Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks
CVPR 2021
On the Equivalence between Neural Network and Support Vector Machine
NeurIPS 2021
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
ICLR 2019
How do infinite width bounded norm networks look in function space?
COLT 2019