Laurenz Wiskott
Orcid: 0000-0001-6237-740XAffiliations:
- Ruhr-University Bochum, Germany
According to our database1,
Laurenz Wiskott
authored at least 92 papers
between 1990 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on d-nb.info
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Bibliography
2024
Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks.
CoRR, 2024
Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies?
CoRR, 2024
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
2023
Algorithms, June, 2023
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison.
Proceedings of the Machine Learning, Optimization, and Data Science, 2023
Proceedings of the Machine Learning, Optimization, and Data Science, 2023
Mitigating Biases using an Additive Grade Point Model: Towards Trustworthy Curriculum Analytics Measures.
Proceedings of the DELFI 2023, 2023
Ein Dashboard für die Studienberatung: Technische Infrastruktur und Studienverlaufsplanung im Projekt KI: edu.nrw.
Proceedings of DELFI Workshops 2023, 11.-13. September 2023, Aachen, 2023
2022
Int. J. Pattern Recognit. Artif. Intell., 2022
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
Reduction of Variance-related Error through Ensembling: Deep Double Descent and Out-of-Distribution Generalization.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022
Simulating Policy Changes in Prerequisite-Free Curricula: A Supervised Data-Driven Approach.
Proceedings of the 15th International Conference on Educational Data Mining, 2022
2021
Modular Networks Prevent Catastrophic Interference in Model-Based Multi-task Reinforcement Learning.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021
Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021
2020
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
Proceedings of the Discovery Science - 23rd International Conference, 2020
2019
Proceedings of the KI 2019: Advances in Artificial Intelligence, 2019
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019
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
2018
Neural Comput., 2018
Neural Comput., 2018
Global Navigation Using Predictable and Slow Feature Analysis in Multiroom Environments, Path Planning and Other Control Tasks.
CoRR, 2018
Proceedings of the 13th ITG Symposium on Speech Communication, 2018
2017
Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and Non-Stationary Environments.
CoRR, 2017
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 Comput. Biol., 2015
Frontiers Comput. Neurosci., 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
2014
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
PLoS Comput. Biol., 2014
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
CoRR, 2014
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 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
Frontiers Comput. Neurosci., 2013
Frontiers Comput. Neurosci., 2013
2012
Slow Feature Analysis: Perspectives for Technical Applications of a Versatile Learning Algorithm.
Künstliche Intell., 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
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
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
Proceedings of the IEEE International Conference on Computer Vision, 2011
2010
PLoS Comput. Biol., 2010
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010
2008
Frontiers Neuroinformatics, 2008
Proceedings of the Artificial Neural Networks, 2008
2007
PLoS Comput. Biol., 2007
PLoS Comput. Biol., 2007
Neural Comput., 2007
2006
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
2004
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
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
2003
Neural Comput., 2003
2002
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
Pattern Recognit. Lett., 1999
Segmentation from motion: combining Gabor- and Mallat-wavelets to overcome the aperture and correspondence problems.
Pattern Recognit., 1999
1998
Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization.
Neural Comput., 1998
1997
IEEE Trans. Pattern Anal. Mach. Intell., 1997
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
1996
Recognizing Faces by Dynamic Link Matching.
NeuroImage, 1996
Proceedings of the Artificial Neural Networks, 1996
1995
PhD thesis, 1995
1993
A Neural System for the Recognition of Partially Occluded Objects in Cluttered Scenes: A Pilot Study.
Int. J. Pattern Recognit. Artif. Intell., 1993
1990
Microprocessing and Microprogramming, 1990