default search action
Laurenz Wiskott
Person information
- affiliation: Ruhr-University Bochum, Germany
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j49]Malte Schilling
, Barbara Hammer
Modularity in Nervous Systems - a Key to Efficient Adaptivity for Deep Reinforcement Learning. Cogn. Comput. 16(5): 2358-2373 (2024) - [j48]Max Bauroth, Pavlos Rath-Manakidis, Valentin Langholf
tachAId - An interactive tool supporting the design of human-centered AI solutions. Frontiers Artif. Intell. 7 (2024) - [j47]Jan Melchior, Robin Schiewer, Laurenz Wiskott:
Hebbian Descent: A Unified View on Log-Likelihood Learning. Neural Comput. 36(9): 1669-1712 (2024) - [c39]Shirin Reyhanian, Zahra Fayyaz, Laurenz Wiskott:
Analysis of a Generative Model of Episodic Memory Based on Hierarchical VQ-VAE and Transformer. ICANN (4) 2024: 77-93 - [c38]Frederik Baucks
Gaining Insights into Course Difficulty Variations Using Item Response Theory. LAK 2024: 450-461 - [c37]Frederik Baucks
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. L@S 2024: 165-176 - [c36]Raphael C. Engelhardt
Exploring the Reliability of SHAP Values in Reinforcement Learning. xAI (3) 2024: 165-184 - [i28]Jan Rathjens, Laurenz Wiskott:
Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies? CoRR abs/2401.09237 (2024) - [i27]Moritz Lange, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott:
Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks. CoRR abs/2402.12067 (2024) - [i26]Pavlos Rath-Manakidis, Frederik Strothmann, Tobias Glasmachers, Laurenz Wiskott
ProtoP-OD: Explainable Object Detection with Prototypical Parts. CoRR abs/2402.19142 (2024) - [i25]Robin Schiewer, Anand Subramoney
Exploring the limits of Hierarchical World Models in Reinforcement Learning. CoRR abs/2406.00483 (2024) - [i24]Frederik Baucks, Robin Schmucker, Conrad Borchers
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. CoRR abs/2406.04348 (2024) - [i23]Eddie Seabrook, Laurenz Wiskott:
What is the relationship between Slow Feature Analysis and the Successor Representation? CoRR abs/2409.16991 (2024) - 2023
- [j46]Raphael C. Engelhardt
Iterative Oblique Decision Trees Deliver Explainable RL Models. Algorithms 16(6): 282 (2023) - [j45]Eddie Seabrook, Laurenz Wiskott:
A Tutorial on the Spectral Theory of Markov Chains. Neural Comput. 35(11): 1713-1796 (2023) - [c35]Frederik Baucks, Laurenz Wiskott:
Mitigating Biases using an Additive Grade Point Model: Towards Trustworthy Curriculum Analytics Measures. DELFI 2023: 12 - [c34]Frederik Baucks, Jonas Leschke
Ein Dashboard für die Studienberatung: Technische Infrastruktur und Studienverlaufsplanung im Projekt KI: edu.nrw. DELFI Workshops 2023: 604 - [c33]Raphael C. Engelhardt
Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning. LOD (2) 2023: 109-123 - [c32]Moritz Lange
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison. LOD (2) 2023: 177-191 - [i22]Moritz Lange, Noah Krystiniak, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott:
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison. CoRR abs/2310.04241 (2023) - 2022
- [j44]Hlynur Davíð Hlynsson
Latent Representation Prediction Networks. Int. J. Pattern Recognit. Artif. Intell. 36(1): 2251002:1-2251002:30 (2022) - [j43]Zahra Fayyaz, Aya Altamimi, Carina Zoellner, Nicole Klein, Oliver T. Wolf
A Model of Semantic Completion in Generative Episodic Memory. Neural Comput. 34(9): 1841-1870 (2022) - [c31]Frederik Baucks, Laurenz Wiskott:
Simulating Policy Changes in Prerequisite-Free Curricula: A Supervised Data-Driven Approach. EDM 2022 - [c30]Pavlos Rath-Manakidis, Hlynur Davíð Hlynsson, Laurenz Wiskott:
Reduction of Variance-related Error through Ensembling: Deep Double Descent and Out-of-Distribution Generalization. ICPRAM 2022: 31-40 - [c29]Raphael C. Engelhardt
Sample-Based Rule Extraction for Explainable Reinforcement Learning. LOD (1) 2022: 330-345 - [i21]Eddie Seabrook, Laurenz Wiskott:
A Tutorial on the Spectral Theory of Markov Chains. CoRR abs/2207.02296 (2022) - 2021
- [c28]Max Menne, Merlin Schüler, Laurenz Wiskott:
Exploring Slow Feature Analysis for Extracting Generative Latent Factors. ICPRAM 2021: 120-131 - [c27]Hlynur Davíð Hlynsson, Laurenz Wiskott:
Reward Prediction for Representation Learning and Reward Shaping. IJCCI 2021: 267-276 - [c26]Robin Schiewer, Laurenz Wiskott:
Modular Networks Prevent Catastrophic Interference in Model-Based Multi-task Reinforcement Learning. LOD 2021: 299-313 - [i20]Hlynur Davíð Hlynsson, Laurenz Wiskott:
Reward prediction for representation learning and reward shaping. CoRR abs/2105.03172 (2021) - [i19]Robin Schiewer, Laurenz Wiskott:
Modular Networks Prevent Catastrophic Interference in Model-Based Multi-Task Reinforcement Learning. CoRR abs/2111.08010 (2021) - [i18]Zahra Fayyaz, Aya Altamimi, Sen Cheng, Laurenz Wiskott:
A model of semantic completion in generative episodic memory. CoRR abs/2111.13537 (2021) - 2020
- [j42]Alberto N. Escalante-B.
Improved graph-based SFA: information preservation complements the slowness principle. Mach. Learn. 109(5): 999-1037 (2020) - [c25]Jan Bollenbacher
Investigating Parallelization of MAML. DS 2020: 294-306 - [i17]Hlynur Davíð Hlynsson, Merlin Schüler, Robin Schiewer, Tobias Glasmachers, Laurenz Wiskott:
Latent Representation Prediction Networks. CoRR abs/2009.09439 (2020) - [i16]Stefan Richthofer, Laurenz Wiskott:
Singular Sturm-Liouville Problems with Zero Potential (q=0) and Singular Slow Feature Analysis. CoRR abs/2011.04765 (2020)
2010 – 2019
- 2019
- [c24]Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott:
Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening. ACML 2019: 316-331 - [c23]Laurenz Wiskott
Laplacian Matrix for Dimensionality Reduction and Clustering. eBISS 2019: 93-119 - [c22]Hlynur Davíð Hlynsson, Alberto N. Escalante-B., Laurenz Wiskott:
Measuring the Data Efficiency of Deep Learning Methods. ICPRAM 2019: 691-698 - [c21]Hlynur Davíð Hlynsson, Laurenz Wiskott:
Learning Gradient-Based ICA by Neurally Estimating Mutual Information. KI 2019: 182-187 - [i15]Hlynur Davíð Hlynsson, Laurenz Wiskott:
Learning gradient-based ICA by neurally estimating mutual information. CoRR abs/1904.09858 (2019) - [i14]Jan Melchior, Laurenz Wiskott:
Hebbian-Descent. CoRR abs/1905.10585 (2019) - [i13]Jan Melchior, Mehdi Bayati, Amir Hossein Azizi, Sen Cheng, Laurenz Wiskott:
A Hippocampus Model for Online One-Shot Storage of Pattern Sequences. CoRR abs/1905.12937 (2019) - [i12]Hlynur Davíð Hlynsson, Alberto N. Escalante-B., Laurenz Wiskott:
Measuring the Data Efficiency of Deep Learning Methods. CoRR abs/1907.02549 (2019) - [i11]Laurenz Wiskott, Fabian Schönfeld:
Laplacian Matrix for Dimensionality Reduction and Clustering. CoRR abs/1909.08381 (2019) - 2018
- [j41]Jing Fang, Naima Rüther, Christian Bellebaum, Laurenz Wiskott
The Interaction between Semantic Representation and Episodic Memory. Neural Comput. 30(2) (2018) - [j40]Björn Weghenkel
Slowness as a Proxy for Temporal Predictability: An Empirical Comparison. Neural Comput. 30(5) (2018) - [c20]Jan Freiwald, Mahdie Karbasi, Steffen Zeiler, Jan Melchior, Varun Raj Kompella, Laurenz Wiskott, Dorothea Kolossa:
Utilizing Slow Feature Analysis for Lipreading. ITG Symposium on Speech Communication 2018: 1-5 - [i10]Stefan Richthofer, Laurenz Wiskott:
Global Navigation Using Predictable and Slow Feature Analysis in Multiroom Environments, Path Planning and Other Control Tasks. CoRR abs/1805.08565 (2018) - [i9]Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott:
Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening. CoRR abs/1808.08833 (2018) - 2017
- [j39]Björn Weghenkel
Graph-based predictable feature analysis. Mach. Learn. 106(9-10): 1359-1380 (2017) - [i8]Varun Raj Kompella, Laurenz Wiskott:
Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and Non-Stationary Environments. CoRR abs/1701.04663 (2017) - [i7]Stefan Richthofer, Laurenz Wiskott:
PFAx: Predictable Feature Analysis to Perform Control. CoRR abs/1712.00634 (2017) - 2016
- [j38]Jan Melchior, Asja Fischer, Laurenz Wiskott:
How to Center Deep Boltzmann Machines. J. Mach. Learn. Res. 17: 99:1-99:61 (2016) - [j37]Alberto N. Escalante-B., Laurenz Wiskott:
Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs. J. Mach. Learn. Res. 17: 157:1-157:36 (2016) - [i6]Alberto N. Escalante-B., Laurenz Wiskott:
Improved graph-based SFA: Information preservation complements the slowness principle. CoRR abs/1601.03945 (2016) - [i5]Björn Weghenkel, Asja Fischer, Laurenz Wiskott:
Graph-based Predictable Feature Analysis. CoRR abs/1602.00554 (2016) - 2015
- [j36]Fabian Schönfeld, Laurenz Wiskott
Modeling place field activity with hierarchical slow feature analysis. Frontiers Comput. Neurosci. 9: 51 (2015) - [j35]Torsten Neher, Sen Cheng
Memory Storage Fidelity in the Hippocampal Circuit: The Role of Subregions and Input Statistics. PLoS Comput. Biol. 11(5) (2015) - [c19]Stefan Richthofer, Laurenz Wiskott
Predictable Feature Analysis. ICMLA 2015: 190-196 - [i4]Alberto N. Escalante-B., Laurenz Wiskott:
Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs. CoRR abs/1509.08329 (2015) - 2014
- [j34]Henning Sprekeler, Tiziano Zito, Laurenz Wiskott:
An extension of slow feature analysis for nonlinear blind source separation. J. Mach. Learn. Res. 15(1): 921-947 (2014) - [j33]Sven Dähne, Niko Wilbert, Laurenz Wiskott
Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells. PLoS Comput. Biol. 10(5) (2014) - [j32]Laurenz Wiskott
Elastic Bunch Graph Matching. Scholarpedia 9(3): 10587 (2014) - [c18]Björn Weghenkel, Laurenz Wiskott:
Learning predictive partitions for continuous feature spaces. ESANN 2014 - [c17]Nan Wang, Laurenz Wiskott, Dirk Jancke:
Modeling correlations in spontaneous activity of visual cortex with centered Gaussian-binary deep Boltzmann machines. ICLR (Workshop Poster) 2014 - [r1]Laurenz Wiskott:
Slow Feature Analysis. Encyclopedia of Computational Neuroscience 2014 - [i3]Nan Wang, Jan Melchior, Laurenz Wiskott:
Gaussian-binary Restricted Boltzmann Machines on Modeling Natural Image Statistics. CoRR abs/1401.5900 (2014) - 2013
- [j31]Fabian Schönfeld, Laurenz Wiskott
RatLab: an easy to use tool for place code simulations. Frontiers Comput. Neurosci. 7: 104 (2013) - [j30]Amir Hossein Azizi, Laurenz Wiskott
A computational model for preplay in the hippocampus. Frontiers Comput. Neurosci. 7: 161 (2013) - [j29]Alberto N. Escalante, Laurenz Wiskott:
How to solve classification and regression problems on high-dimensional data with a supervised extension of slow feature analysis. J. Mach. Learn. Res. 14(1): 3683-3719 (2013) - [j28]Niko Wilbert, Tiziano Zito
Building extensible frameworks for data processing: The case of MDP, Modular toolkit for Data Processing. J. Comput. Sci. 4(5): 345-351 (2013) - [j27]Norbert Krüger
Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1847-1871 (2013) - [j26]Ha Quang Minh
Multivariate Slow Feature Analysis and Decorrelation Filtering for Blind Source Separation. IEEE Trans. Image Process. 22(7): 2737-2750 (2013) - [i2]Jan Melchior, Asja Fischer, Nan Wang, Laurenz Wiskott:
How to Center Binary Restricted Boltzmann Machines. CoRR abs/1311.1354 (2013) - [i1]Stefan Richthofer, Laurenz Wiskott:
Predictable Feature Analysis. CoRR abs/1311.2503 (2013) - 2012
- [j25]Alberto N. Escalante, Laurenz Wiskott
Slow Feature Analysis: Perspectives for Technical Applications of a Versatile Learning Algorithm. Künstliche Intell. 26(4): 341-348 (2012) - [c16]Nan Wang, Jan Melchior, Laurenz Wiskott:
An analysis of Gaussian-binary restricted Boltzmann machines for natural images. ESANN 2012 - 2011
- [j24]Henning Sprekeler
A Theory of Slow Feature Analysis for Transformation-Based Input Signals with an Application to Complex Cells. Neural Comput. 23(2): 303-335 (2011) - [j23]Mathias Franzius, Niko Wilbert, Laurenz Wiskott
Invariant Object Recognition and Pose Estimation with Slow Feature Analysis. Neural Comput. 23(9): 2289-2323 (2011) - [j22]Peter A. Appleby, Gerd Kempermann
The Role of Additive Neurogenesis and Synaptic Plasticity in a Hippocampal Memory Model with Grid-Cell Like Input. PLoS Comput. Biol. 7(1) (2011) - [j21]Laurenz Wiskott
Slow feature analysis. Scholarpedia 6(4): 5282 (2011) - [c15]Ha Quang Minh
Slow feature analysis and decorrelation filtering for separating correlated sources. ICCV 2011: 866-873 - [c14]Alberto N. Escalante, Laurenz Wiskott
Heuristic Evaluation of Expansions for Non-linear Hierarchical Slow Feature Analysis. ICMLA (1) 2011: 133-138 - 2010
- [j20]Robert Legenstein
Reinforcement Learning on Slow Features of High-Dimensional Input Streams. PLoS Comput. Biol. 6(8) (2010) - [c13]Alberto N. Escalante, Laurenz Wiskott
Gender and Age Estimation from Synthetic Face Images. IPMU 2010: 240-249
2000 – 2009
- 2008
- [j19]Tiziano Zito
Modular toolkit for Data Processing (MDP): a Python data processing framework. Frontiers Neuroinformatics 2: 8 (2008) - [c12]Mathias Franzius, Niko Wilbert, Laurenz Wiskott
Invariant Object Recognition with Slow Feature Analysis. ICANN (1) 2008: 961-970 - 2007
- [j18]Mathias Franzius, Roland Vollgraf, Laurenz Wiskott
From grids to places. J. Comput. Neurosci. 22(3): 297-299 (2007) - [j17]Tobias Blaschke, Tiziano Zito
Independent Slow Feature Analysis and Nonlinear Blind Source Separation. Neural Comput. 19(4): 994-1021 (2007) - [j16]Henning Sprekeler
Slowness: An Objective for Spike-Timing-Dependent Plasticity? PLoS Comput. Biol. 3(6) (2007) - [j15]Mathias Franzius, Henning Sprekeler
Slowness and Sparseness Lead to Place, Head-Direction, and Spatial-View Cells. PLoS Comput. Biol. 3(8) (2007) - 2006
- [j14]Pietro Berkes
On the Analysis and Interpretation of Inhomogeneous Quadratic Forms as Receptive Fields. Neural Comput. 18(8): 1868-1895 (2006) - [j13]Tobias Blaschke, Pietro Berkes
What Is the Relation Between Slow Feature Analysis and Independent Component Analysis? Neural Comput. 18(10): 2495-2508 (2006) - 2004
- [j12]Tobias Blaschke, Laurenz Wiskott
CuBICA: independent component analysis by simultaneous third- and fourth-order cumulant diagonalization. IEEE Trans. Signal Process. 52(5): 1250-1256 (2004) - [c11]Tobias Blaschke, Laurenz Wiskott
Independent Slow Feature Analysis and Nonlinear Blind Source Separation. ICA 2004: 742-749 - [c10]Tobias Blaschke, Laurenz Wiskott:
Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis. NIPS 2004: 177-184 - 2003
- [j11]Laurenz Wiskott
Slow Feature Analysis: A Theoretical Analysis of Optimal Free Responses. Neural Comput. 15(9): 2147-2177 (2003) - 2002
- [j10]Laurenz Wiskott
Slow Feature Analysis: Unsupervised Learning of Invariances. Neural Comput. 14(4): 715-770 (2002) - [c9]Pietro Berkes, Laurenz Wiskott
Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties. ICANN 2002: 81-86 - [c8]Tobias Blaschke, Laurenz Wiskott
An Improved Cumulant Based Method for Independent Component Analysis. ICANN 2002: 1087-1093
1990 – 1999
- 1999
- [j9]Laurenz Wiskott
Learning invariance manifolds. Neurocomputing 26-27: 925-932 (1999) - [j8]Laurenz Wiskott
Segmentation from motion: combining Gabor- and Mallat-wavelets to overcome the aperture and correspondence problems. Pattern Recognit. 32(10): 1751-1766 (1999) - [j7]Laurenz Wiskott
The role of topographical constraints in face recognition. Pattern Recognit. Lett. 20(1): 89-96 (1999) - 1998
- [j6]Laurenz Wiskott
Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization. Neural Comput. 10(3): 671-716 (1998) - 1997
- [j5]Laurenz Wiskott
Face Recognition by Elastic Bunch Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 19(7): 775-779 (1997) - [j4]Laurenz Wiskott
Phantom faces for face analysis. Pattern Recognit. 30(6): 837-846 (1997) - [c7]Laurenz Wiskott
Segmentation from Motion: Combining Gabor- and Mallat-Wavelets to Overcome Aperture and Correspondence Problem. CAIP 1997: 329-336 - [c6]Laurenz Wiskott
Face Recognition by Elastic Bunch Graph Matching. CAIP 1997: 456-463 - [c5]Laurenz Wiskott
Phantom Faces for Face Analysis. CAIP 1997: 480-487 - [c4]Laurenz Wiskott
Objective Functions for Neural Map Formation. ICANN 1997: 243-248 - [c3]Laurenz Wiskott, Jean-Marc Fellous, Norbert Krüger, Christoph von der Malsburg:
Face Recognition by Elastic Bunch Graph Matching. ICIP (1) 1997: 129-132 - [c2]Laurenz Wiskott
Phantom faces for face analysis. ICIP (3) 1997: 308-311 - 1996
- [j3]Laurenz Wiskott, Christoph von der Malsburg:
Recognizing Faces by Dynamic Link Matching. NeuroImage 4(3): S14-S18 (1996) - [c1]Michael Pötzsch, Thomas Maurer, Laurenz Wiskott
Reconstruction from Graphs Labeled with Responses of Gabor Filters. ICANN 1996: 845-850 - 1995
- [b1]Laurenz Wiskott:
Labeled graphs and dynamic link matching for face recognition and scene analysis. Ruhr University Bochum, Germany, Deutsch 1995, ISBN 978-3-8171-1481-8, pp. 1-110 - 1993
- [j2]Laurenz Wiskott
A Neural System for the Recognition of Partially Occluded Objects in Cluttered Scenes: A Pilot Study. Int. J. Pattern Recognit. Artif. Intell. 7(4): 935-948 (1993) - 1990
- [j1]L. De Maeyer, A. Di Nicola, R. Maetche, Christoph von der Malsburg, Laurenz Wiskott
An experimental multiprocessor system for distributed parallel computations. Microprocessing and Microprogramming 26(5): 305-317 (1990)
Coauthor Index
Alberto N. Escalante
aka: Alberto N. Escalante-B.
aka: Alberto N. Escalante-B.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-27 20:29 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: