Laurenz Wiskott

According to our database1, Laurenz Wiskott authored at least 61 papers between 1993 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

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Bibliography

2019
Learning Gradient-Based ICA by Neurally Estimating Mutual Information.
Proceedings of the KI 2019: Advances in Artificial Intelligence, 2019

Measuring the Data Efficiency of Deep Learning Methods.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2018
Slowness as a Proxy for Temporal Predictability: An Empirical Comparison.
Neural Computation, 2018

The Interaction between Semantic Representation and Episodic Memory.
Neural Computation, 2018

2017
Graph-based predictable feature analysis.
Machine Learning, 2017

2016
How to Center Deep Boltzmann Machines.
J. Mach. Learn. Res., 2016

Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs.
J. Mach. Learn. Res., 2016

2015
Memory Storage Fidelity in the Hippocampal Circuit: The Role of Subregions and Input Statistics.
PLoS Computational Biology, 2015

Modeling place field activity with hierarchical slow feature analysis.
Front. Comput. Neurosci., 2015

Predictable Feature Analysis.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
Slow Feature Analysis.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Elastic Bunch Graph Matching.
Scholarpedia, 2014

Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells.
PLoS Computational Biology, 2014

An extension of slow feature analysis for nonlinear blind source separation.
J. Mach. Learn. Res., 2014

Modeling correlations in spontaneous activity of visual cortex with centered Gaussian-binary deep Boltzmann machines.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Learning predictive partitions for continuous feature spaces.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
Multivariate Slow Feature Analysis and Decorrelation Filtering for Blind Source Separation.
IEEE Trans. Image Processing, 2013

Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Building extensible frameworks for data processing: The case of MDP, Modular toolkit for Data Processing.
J. Comput. Science, 2013

How to solve classification and regression problems on high-dimensional data with a supervised extension of slow feature analysis.
J. Mach. Learn. Res., 2013

RatLab: an easy to use tool for place code simulations.
Front. Comput. Neurosci., 2013

A computational model for preplay in the hippocampus.
Front. Comput. Neurosci., 2013

2012
Slow Feature Analysis: Perspectives for Technical Applications of a Versatile Learning Algorithm.
KI, 2012

An analysis of Gaussian-binary restricted Boltzmann machines for natural images.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Slow feature analysis.
Scholarpedia, 2011

The Role of Additive Neurogenesis and Synaptic Plasticity in a Hippocampal Memory Model with Grid-Cell Like Input.
PLoS Computational Biology, 2011

A Theory of Slow Feature Analysis for Transformation-Based Input Signals with an Application to Complex Cells.
Neural Computation, 2011

Invariant Object Recognition and Pose Estimation with Slow Feature Analysis.
Neural Computation, 2011

Heuristic Evaluation of Expansions for Non-linear Hierarchical Slow Feature Analysis.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Slow feature analysis and decorrelation filtering for separating correlated sources.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Reinforcement Learning on Slow Features of High-Dimensional Input Streams.
PLoS Computational Biology, 2010

Gender and Age Estimation from Synthetic Face Images.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

2009
Modular toolkit for Data Processing (MDP): a Python data processing framework.
Front. Neuroinform., 2009

2008
Invariant Object Recognition with Slow Feature Analysis.
Proceedings of the Artificial Neural Networks, 2008

2007
Slowness: An Objective for Spike-Timing-Dependent Plasticity?
PLoS Computational Biology, 2007

Slowness and Sparseness Lead to Place, Head-Direction, and Spatial-View Cells.
PLoS Computational Biology, 2007

Independent Slow Feature Analysis and Nonlinear Blind Source Separation.
Neural Computation, 2007

From grids to places.
Journal of Computational Neuroscience, 2007

2006
What Is the Relation Between Slow Feature Analysis and Independent Component Analysis?
Neural Computation, 2006

On the Analysis and Interpretation of Inhomogeneous Quadratic Forms as Receptive Fields.
Neural Computation, 2006

2004
CuBICA: independent component analysis by simultaneous third- and fourth-order cumulant diagonalization.
IEEE Trans. Signal Processing, 2004

Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Independent Slow Feature Analysis and Nonlinear Blind Source Separation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
Slow Feature Analysis: A Theoretical Analysis of Optimal Free Responses.
Neural Computation, 2003

2002
Slow Feature Analysis: Unsupervised Learning of Invariances.
Neural Computation, 2002

An Improved Cumulant Based Method for Independent Component Analysis.
Proceedings of the Artificial Neural Networks, 2002

Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties.
Proceedings of the Artificial Neural Networks, 2002

1999
The role of topographical constraints in face recognition.
Pattern Recognition Letters, 1999

Segmentation from motion: combining Gabor- and Mallat-wavelets to overcome the aperture and correspondence problems.
Pattern Recognition, 1999

Learning invariance manifolds.
Neurocomputing, 1999

1998
Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization.
Neural Computation, 1998

1997
Face Recognition by Elastic Bunch Graph Matching.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Phantom faces for face analysis.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Objective Functions for Neural Map Formation.
Proceedings of the Artificial Neural Networks, 1997

Face Recognition by Elastic Bunch Graph Matching.
Proceedings of the Computer Analysis of Images and Patterns, 7th International Conference, 1997

Phantom Faces for Face Analysis.
Proceedings of the Computer Analysis of Images and Patterns, 7th International Conference, 1997

Segmentation from Motion: Combining Gabor- and Mallat-Wavelets to Overcome Aperture and Correspondence Problem.
Proceedings of the Computer Analysis of Images and Patterns, 7th International Conference, 1997

1996
Recognizing Faces by Dynamic Link Matching.
NeuroImage, 1996

Reconstruction from Graphs Labeled with Responses of Gabor Filters.
Proceedings of the Artificial Neural Networks, 1996

1995
Labeled graphs and dynamic link matching for face recognition and scene analysis.
PhD thesis, 1995

1993
A Neural System for the Recognition of Partially Occluded Objects in Cluttered Scenes: A Pilot Study.
IJPRAI, 1993


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