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

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

19 February 2020
G. Yoo
H. Owhadi
ArXivPDFHTML

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

3 / 3 papers shown
Title
DeepParticle: learning invariant measure by a deep neural network
  minimizing Wasserstein distance on data generated from an interacting
  particle method
DeepParticle: learning invariant measure by a deep neural network minimizing Wasserstein distance on data generated from an interacting particle method
Zhongjian Wang
Jack Xin
Zhiwen Zhang
39
15
0
02 Nov 2021
Data-driven geophysical forecasting: Simple, low-cost, and accurate
  baselines with kernel methods
Data-driven geophysical forecasting: Simple, low-cost, and accurate baselines with kernel methods
B. Hamzi
R. Maulik
H. Owhadi
AI4TS
9
28
0
13 Feb 2021
Consistency of Empirical Bayes And Kernel Flow For Hierarchical
  Parameter Estimation
Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation
Yifan Chen
H. Owhadi
Andrew M. Stuart
17
31
0
22 May 2020
1