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Reward prediction for representation learning and reward shaping


May 07, 2021
Hlynur Davíð Hlynsson, Laurenz Wiskott


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Singular Sturm-Liouville Problems with Zero Potential (q=0) and Singular Slow Feature Analysis


Nov 09, 2020
Stefan Richthofer, Laurenz Wiskott


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Latent Representation Prediction Networks


Sep 20, 2020
Hlynur Davíð Hlynsson, Merlin Schüler, Robin Schiewer, Tobias Glasmachers, Laurenz Wiskott

* 24 pages 

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Laplacian Matrix for Dimensionality Reduction and Clustering


Sep 18, 2019
Laurenz Wiskott, Fabian Schönfeld

* lecture notes, 30 pages, 9 figures 

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Measuring the Data Efficiency of Deep Learning Methods


Jul 03, 2019
Hlynur Davíð Hlynsson, Alberto N. Escalante-B., Laurenz Wiskott

* In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM (2019) pages 691-698 
* 8 pages 

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A Hippocampus Model for Online One-Shot Storage of Pattern Sequences


May 30, 2019
Jan Melchior, Mehdi Bayati, Amir Azizi, Sen Cheng, Laurenz Wiskott


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Hebbian-Descent


May 25, 2019
Jan Melchior, Laurenz Wiskott


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Learning gradient-based ICA by neurally estimating mutual information


Apr 22, 2019
Hlynur Davíð Hlynsson, Laurenz Wiskott

* 6 Pages 

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Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening


Aug 27, 2018
Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott


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Global Navigation Using Predictable and Slow Feature Analysis in Multiroom Environments, Path Planning and Other Control Tasks


May 22, 2018
Stefan Richthofer, Laurenz Wiskott


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PFAx: Predictable Feature Analysis to Perform Control


Dec 02, 2017
Stefan Richthofer, Laurenz Wiskott


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Graph-based Predictable Feature Analysis


May 11, 2017
Björn Weghenkel, Asja Fischer, Laurenz Wiskott


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Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and Non-Stationary Environments


Jan 17, 2017
Varun Raj Kompella, Laurenz Wiskott

* 8 pages, 5 figures 

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Improved graph-based SFA: Information preservation complements the slowness principle


Jan 15, 2016
Alberto N. Escalante-B., Laurenz Wiskott

* 40 pages, 9 figures, 9 tables, submitted to Pattern Recognition 

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Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs


Sep 28, 2015
Alberto N. Escalante-B., Laurenz Wiskott

* 29 pages, 9 figures 

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How to Center Binary Deep Boltzmann Machines


Jul 16, 2015
Jan Melchior, Asja Fischer, Laurenz Wiskott

* Journal of Machine Learning Research, 17(99), 2016, 1:61 
* Author list in meta data corrected - 57 pages, 17 figures, 13 tables 

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Modeling correlations in spontaneous activity of visual cortex with centered Gaussian-binary deep Boltzmann machines


Feb 17, 2014
Nan Wang, Dirk Jancke, Laurenz Wiskott

* 9 pages, 4 figures, for openreview ICLR2014, 2nd revision 

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Gaussian-binary Restricted Boltzmann Machines on Modeling Natural Image Statistics


Jan 23, 2014
Nan Wang, Jan Melchior, Laurenz Wiskott

* PLoS ONE 12(2): e0171015 (2017) 
* Current version is only an early manuscript and is subject to further change 

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Predictable Feature Analysis


Nov 11, 2013
Stefan Richthofer, Laurenz Wiskott


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