9 citations · 14 across the 4 of their papers we have counts for
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cs.LG2021★ 4 cited
The Nonlinearity Coefficient - A Practical Guide to Neural Architecture Design
George Philipp
In essence, a neural network is an arbitrary differentiable, parametrized function. Choosing a neural network architecture for any task is as complex as searching the space of thos…
cs.LG2017★ 9 cited
Nonparametric Neural Networks
George Philipp, Jaime G. Carbonell
Automatically determining the optimal size of a neural network for a given task without prior information currently requires an expensive global search and training many networks f…