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

collaborators

Showing 2023Show all

2 papers · 1 filter

cs.LG2023★ 2 cited

Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff

Arthur Jacot

Previous work has shown that DNNs with large depth $L$ and $L_{2}$ -regularization are biased towards learning low-dimensional representations of the inputs, which can be interprete…

cs.LG2023★ 1 cited

Implicit bias of SGD in $L_{2}$ -regularized linear DNNs: One-way jumps from high to low rank

Zihan Wang, Arthur Jacot

The $L_{2}$ -regularized loss of Deep Linear Networks (DLNs) with more than one hidden layers has multiple local minima, corresponding to matrices with different ranks. In tasks suc…

Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff

Implicit bias of SGD in L2​-regularized linear DNNs: One-way jumps from high to low rank

Implicit bias of SGD in $L_{2}$ -regularized linear DNNs: One-way jumps from high to low rank