41 citations · 71 across the 14 of their papers we have counts for
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stat.ML2021★ 3 cited
Redundant representations help generalization in wide neural networks
Diego Doimo, Aldo Glielmo, Sebastian Goldt +1
Deep neural networks (DNNs) defy the classical bias-variance trade-off: adding parameters to a DNN that interpolates its training data will typically improve its generalization per…
stat.ME2021★ 3 cited
Distributional Results for Model-Based Intrinsic Dimension Estimators
Francesco Denti, Diego Doimo, Alessandro Laio +1
Modern datasets are characterized by a large number of features that may conceal complex dependency structures. To deal with this type of data, dimensionality reduction techniques…