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20182026
most citedRandom Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption

2 citations · 6 across the 19 of their papers we have counts for

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math.ST2025

Generalization in Representation Models via Random Matrix Theory: Application to Recurrent Networks

Yessin Moakher, Malik Tiomoko, Cosme Louart +1

We first study the generalization error of models that use a fixed feature representation (frozen intermediate layers) followed by a trainable readout layer. This setting encompass…