• Schirrmeister, R. and Chrabąszcz, P. and Hutter, F. and Ball, T. (arXiv)(poster)(bib)
    Training Generative Reversible Networks
    In: ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models


  • Schirrmeister, R. and Springenberg, T. and Fiederer, L. and Glasstetter, M. and Eggensperger, K. and Tangermann, M. and Hutter, F. and Burgard, W. and Ball, T. (arXiv)(published)(bib)
    Deep learning with convolutional neural networks for EEG decoding and visualization
    In: Human Brain Mapping 38 (2017): 5391--5420