Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows

1 code implementation • arXiv 2020 • Gene Ryan Yoo, Houman Owhadi

We introduce a new regularization method for Artificial Neural Networks (ANNs) based on Kernel Flows (KFs).

Image Classification regression

Kernel Mode Decomposition and programmable/interpretable regression networks

1 code implementation • 19 Jul 2019 • Houman Owhadi, Clint Scovel, Gene Ryan Yoo

Mode decomposition is a prototypical pattern recognition problem that can be addressed from the (a priori distinct) perspectives of numerical approximation, statistical inference and deep learning.

GPR regression

Kernel Flows: from learning kernels from data into the abyss

1 code implementation • 13 Aug 2018 • Houman Owhadi, Gene Ryan Yoo

Kriging offers a solution to this problem based on the prior specification of a kernel.