70 citations · 85 across the 19 of their papers we have counts for
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stat.ML2021
Separation of Scales and a Thermodynamic Description of Feature Learning in Some CNNs
Inbar Seroussi, Gadi Naveh, Zohar Ringel
Deep neural networks (DNNs) are powerful tools for compressing and distilling information. Their scale and complexity, often involving billions of inter-dependent parameters, rende…
stat.ML2021
Lower Bounds on the Generalization Error of Nonlinear Learning Models
Inbar Seroussi, Ofer Zeitouni
We study in this paper lower bounds for the generalization error of models derived from multi-layer neural networks, in the regime where the size of the layers is commensurate with…