research
∙
06/07/2023
Long Sequence Hopfield Memory
Sequence memory is an essential attribute of natural and artificial inte...
share
research
∙
03/01/2023
Learning curves for deep structured Gaussian feature models
In recent years, significant attention in deep learning theory has been ...
research
∙
01/26/2023
Neural networks learn to magnify areas near decision boundaries
We study how training molds the Riemannian geometry induced by neural ne...
research
∙
03/01/2022
Contrasting random and learned features in deep Bayesian linear regression
Understanding how feature learning affects generalization is among the f...
research
∙
01/12/2022
On neural network kernels and the storage capacity problem
In this short note, we reify the connection between work on the storage ...
research
∙
11/23/2021
Depth induces scale-averaging in overparameterized linear Bayesian neural networks
Inference in deep Bayesian neural networks is only fully understood in t...
research
∙
06/01/2021
Asymptotics of representation learning in finite Bayesian neural networks
Recent works have suggested that finite Bayesian neural networks may out...
research
∙
04/23/2021
Exact priors of finite neural networks
Bayesian neural networks are theoretically well-understood only in the i...
research
∙
07/21/2020