Asja Fischer

Institut für Neuroinformatik
Ruhr-Universität Bochum
Universitätsstraße 150
Building NB, Room
D-44801 Bochum
Germany
Theory of Cognitive Systems

Groups

Weghenkel, B., Fischer, A., & Wiskott, L.. (2017). Graph-based predictable feature analysis. Machine Learning, 1–22. http://doi.org/10.1007/s10994-017-5632-x
Melchior, J., Fischer, A., & Wiskott, L.. (2016). How to Center Deep Boltzmann Machines. Journal of Machine Learning Research, 17(99), 1–61. Retrieved from http://jmlr.org/papers/v17/14-237.html
Krause, O., Fischer, A., Glasmachers, T., & Igel, C. (2013). Approximation properties of DBNs with binary hidden units and real-valued visible units. In Proceedings of the International Conference on Machine Learning (ICML).
Melchior, J., Fischer, A., Wang, N., & Wiskott, L.. (2013). How to Center Binary Restricted Boltzmann Machines (Vol. 1311.1354). arXiv.org e-Print archive. Retrieved from http://arxiv.org/pdf/1311.1354.pdf