Machine-Learning-Based Diagnostics of EEG Pathology

1 code implementation • 11 Feb 2020 • Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball

The results demonstrate that the proposed feature-based decoding framework can achieve accuracies on the same level as state-of-the-art deep neural networks.

BIG-bench Machine Learning EEG

Training Generative Reversible Networks

1 code implementation • 5 Jun 2018 • Robin Tibor Schirrmeister, Patryk Chrabąszcz, Frank Hutter, Tonio Ball

This first attempt to use RevNets inside the adversarial autoencoder framework slightly underperformed relative to recent advanced generative models using an autoencoder component on CelebA, but this gap may diminish with further optimization of the training setup of generative RevNets.