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10/25/2022
Redistributor: Transforming Empirical Data Distributions
We present an algorithm and package, Redistributor, which forces a colle...
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05/23/2019
How degenerate is the parametrization of neural networks with the ReLU activation function?
Neural network training is usually accomplished by solving a non-convex ...
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05/13/2019
Towards a regularity theory for ReLU networks -- chain rule and global error estimates
Although for neural networks with locally Lipschitz continuous activatio...
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01/17/2019
The Oracle of DLphi
We present a novel technique based on deep learning and set theory which...
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01/08/2019
Deep Neural Network Approximation Theory
Deep neural networks have become state-of-the-art technology for a wide ...
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06/05/2018