14 citations · 42 across the 11 of their papers we have counts for
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cs.LG2023★ 6 cited
Automatic Gradient Descent: Deep Learning without Hyperparameters
Jeremy Bernstein, Chris Mingard, Kevin Huang +2
The architecture of a deep neural network is defined explicitly in terms of the number of layers, the width of each layer and the general network topology. Existing optimisation fr…
cs.LG2023★ 14 cited
Deep neural networks have an inbuilt Occam's razor
Chris Mingard, Henry Rees, Guillermo Valle-Pérez +1
The remarkable performance of overparameterized deep neural networks (DNNs) must arise from an interplay between network architecture, training algorithms, and structure in the dat…