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05/25/2021
The Nonlinearity Coefficient - A Practical Guide to Neural Architecture Design
In essence, a neural network is an arbitrary differentiable, parametrize...
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06/01/2018
The Nonlinearity Coefficient - Predicting Overfitting in Deep Neural Networks
For a long time, designing neural architectures that exhibit high perfor...
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12/15/2017
Gradients explode - Deep Networks are shallow - ResNet explained
Whereas it is believed that techniques such as Adam, batch normalization...
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12/14/2017
Nonparametric Neural Networks
Automatically determining the optimal size of a neural network for a giv...
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12/13/2017
Stability Selection for Structured Variable Selection
In variable or graph selection problems, finding a right-sized model or ...
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