Laurenz Wiskott

According to our database1, Laurenz Wiskott authored at least 75 papers between 1993 and 2021.

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



In proceedings 
PhD thesis 


Online presence:



Reward prediction for representation learning and reward shaping.
CoRR, 2021

Exploring Slow Feature Analysis for Extracting Generative Latent Factors.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

Improved graph-based SFA: information preservation complements the slowness principle.
Mach. Learn., 2020

Singular Sturm-Liouville Problems with Zero Potential (q=0) and Singular Slow Feature Analysis.
CoRR, 2020

Latent Representation Prediction Networks.
CoRR, 2020

Investigating Parallelization of MAML.
Proceedings of the Discovery Science - 23rd International Conference, 2020

A Hippocampus Model for Online One-Shot Storage of Pattern Sequences.
CoRR, 2019

CoRR, 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

Laplacian Matrix for Dimensionality Reduction and Clustering.
Proceedings of the Big Data Management and Analytics - 9th European Summer School, 2019

Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

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

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

Global Navigation Using Predictable and Slow Feature Analysis in Multiroom Environments, Path Planning and Other Control Tasks.
CoRR, 2018

Utilizing Slow Feature Analysis for Lipreading.
Proceedings of the 13th ITG Symposium on Speech Communication, 2018

Graph-based predictable feature analysis.
Mach. Learn., 2017

PFAx: Predictable Feature Analysis to Perform Control.
CoRR, 2017

Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and Non-Stationary Environments.
CoRR, 2017

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

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

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

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

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 Comput. Biol., 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

Gaussian-binary Restricted Boltzmann Machines on Modeling Natural Image Statistics.
CoRR, 2014

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

Multivariate Slow Feature Analysis and Decorrelation Filtering for Blind Source Separation.
IEEE Trans. Image Process., 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. Sci., 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.
Frontiers Comput. Neurosci., 2013

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

How to Center Binary Restricted Boltzmann Machines.
CoRR, 2013

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

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

Slow feature analysis.
Scholarpedia, 2011

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

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

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

Reinforcement Learning on Slow Features of High-Dimensional Input Streams.
PLoS Comput. Biol., 2010

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

Modular toolkit for Data Processing (MDP): a Python data processing framework.
Frontiers Neuroinformatics, 2008

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

Slowness: An Objective for Spike-Timing-Dependent Plasticity?
PLoS Comput. Biol., 2007

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

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

From grids to places.
J. Comput. Neurosci., 2007

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

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

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

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

Slow Feature Analysis: Unsupervised Learning of Invariances.
Neural Comput., 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

The role of topographical constraints in face recognition.
Pattern Recognit. Lett., 1999

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

Learning invariance manifolds.
Neurocomputing, 1999

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

Phantom faces for face analysis.
Pattern Recognit., 1997

Face Recognition by Elastic Bunch Graph Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 1997

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

Recognizing Faces by Dynamic Link Matching.
NeuroImage, 1996

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

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

A Neural System for the Recognition of Partially Occluded Objects in Cluttered Scenes: A Pilot Study.
Int. J. Pattern Recognit. Artif. Intell., 1993