Arthur Jacot

activity

20182026

most citedNeural Tangent Kernel: Convergence and Generalization in Neural Networks

1.3k citations · 1.6k across the 25 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

stat.ML2022★ 2 cited

Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions

Arthur Jacot

We show that the representation cost of fully connected neural networks with homogeneous nonlinearities - which describes the implicit bias in function space of networks with $L_{2}$ …

stat.ML2022★ 1 cited

Feature Learning in $L_{2}$ -regularized DNNs: Attraction/Repulsion and Sparsity

Arthur Jacot, Eugene Golikov, Clément Hongler +1

We study the loss surface of DNNs with $L_{2}$ regularization. We show that the loss in terms of the parameters can be reformulated into a loss in terms of the layerwise activation…

Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions

Feature Learning in L2​-regularized DNNs: Attraction/Repulsion and Sparsity

Feature Learning in $L_{2}$ -regularized DNNs: Attraction/Repulsion and Sparsity