20 citations · 28 across the 10 of their papers we have counts for
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cs.LG2022★ 3 cited
Neural Tangent Kernel: A Survey
Eugene Golikov, Eduard Pokonechnyy, Vladimir Korviakov
A seminal work [Jacot et al., 2018] demonstrated that training a neural network under specific parameterization is equivalent to performing a particular kernel method as width goes…
stat.ML2022★ 1 cited
Feature Learning in -regularized DNNs: Attraction/Repulsion and Sparsity
Arthur Jacot, Eugene Golikov, Clément Hongler +1
We study the loss surface of DNNs with regularization. We show that the loss in terms of the parameters can be reformulated into a loss in terms of the layerwise activation…