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06/17/2020
How isotropic kernels learn simple invariants
We investigate how the training curve of isotropic kernel methods depend...
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06/19/2019
Disentangling feature and lazy learning in deep neural networks: an empirical study
Two distinct limits for deep learning as the net width h→∞ have been pro...
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05/26/2019
Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm
How many training data are needed to learn a supervised task? It is ofte...
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01/06/2019
Scaling description of generalization with number of parameters in deep learning
We provide a description for the evolution of the generalization perform...
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10/22/2018
A jamming transition from under- to over-parametrization affects loss landscape and generalization
We argue that in fully-connected networks a phase transition delimits th...
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09/25/2018