no code implementations • 20 Sep 2020 • Hlynur Davíð Hlynsson, Merlin Schüler, Robin Schiewer, Tobias Glasmachers, Laurenz Wiskott
The prediction function is used as a forward model for search on a graph in a viewpoint-matching task and the representation learned to maximize predictability is found to outperform a pre-trained representation.
no code implementations • 27 Aug 2018 • Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott
We propose Power Slow Feature Analysis, a gradient-based method to extract temporally slow features from a high-dimensional input stream that varies on a faster time-scale, as a variant of Slow Feature Analysis (SFA) that allows end-to-end training of arbitrary differentiable architectures and thereby significantly extends the class of models that can effectively be used for slow feature extraction.
no code implementations • 26 Jun 2018 • Sahar Qaadan, Merlin Schüler, Tobias Glasmachers
We present a dual subspace ascent algorithm for support vector machine training that respects a budget constraint limiting the number of support vectors.