Laurenz Wiskott

130 papers A* 1A 1B 7C 15Misc 1Journal 86Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	C	`conf`	Is Hierarchical Quantization Essential for Optimal Reconstruction? ICPRAM Shirin Reyhanian, Laurenz Wiskott
2026	J	`jnl`	Is Hierarchical Quantization Essential for Optimal Reconstruction? CoRR Shirin Reyhanian, Laurenz Wiskott
2026	J	`jnl`	Probing Length Generalization in Mamba via Image Reconstruction. CoRR Jan Rathjens, Robin Schiewer, Laurenz Wiskott, Anand Subramoney
2025	J	`jnl`	Effects of Distributional Biases on Gradient-Based Causal Discovery in the Bivariate Categorical Case. CoRR Tim Schwabe, Moritz Lange, Laurenz Wiskott, Maribel Acosta
2025	B	`conf`	From Minimal Traces to Scenarios of the Past: A Neuro-Computational Model on Regaining Categoricity and Compositionality in Remembering. CogSci Francesca Righetti, Zahra Fayyaz, Laurenz Wiskott, Markus Werning
2025	J	`jnl`	Object-centric Denoising Diffusion Models for Physical Reasoning. CoRR Moritz Lange, Raphael C. Engelhardt, Wolfgang Konen, Andrew Melnik, Laurenz Wiskott
2025	J	`jnl`	Slow Feature Analysis as Variational Inference Objective. CoRR Merlin Schüler, Laurenz Wiskott
2025	J	`jnl`	Slow Feature Analysis on Markov Chains from Goal-Directed Behavior. CoRR Merlin Schüler, Eddie Seabrook, Laurenz Wiskott
2025	J	`jnl`	The Course Difficulty Analysis Cookbook. CoRR Frederik Baucks, Robin Schmucker, Laurenz Wiskott
2024	—	`conf`	Analysis of a Generative Model of Episodic Memory Based on Hierarchical VQ-VAE and Transformer. ICANN (4) Shirin Reyhanian, Zahra Fayyaz, Laurenz Wiskott
2024	B	`conf`	Antagonism between Classification and Reconstruction Processes in Deep Predictive Coding Networks. ESANN Jan Rathjens, Laurenz Wiskott
2024	J	`jnl`	Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies? CoRR Jan Rathjens, Laurenz Wiskott
2024	—	`conf`	Exploring the Reliability of SHAP Values in Reinforcement Learning. xAI (3) Raphael C. Engelhardt, Moritz Lange, Laurenz Wiskott, Wolfgang Konen
2024	J	`jnl`	Exploring the limits of Hierarchical World Models in Reinforcement Learning. CoRR Robin Schiewer, Anand Subramoney, Laurenz Wiskott
2024	A	`conf`	Gaining Insights into Course Difficulty Variations Using Item Response Theory. LAK Frederik Baucks, Robin Schmucker, Laurenz Wiskott
2024	B	`conf`	Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. L@S Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott
2024	J	`jnl`	Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. CoRR Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott
2024	J	`jnl`	Hebbian Descent: A Unified View on Log-Likelihood Learning. Neural Comput. Jan Melchior, Robin Schiewer, Laurenz Wiskott
2024	J	`jnl`	Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks. CoRR Moritz Lange, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott
2024	J	`jnl`	Inverting Visual Representations with Detection Transformers. CoRR Jan Rathjens, Shirin Reyhanian, David Kappel, Laurenz Wiskott
2024	J	`jnl`	Modularity in Nervous Systems - a Key to Efficient Adaptivity for Deep Reinforcement Learning. Cogn. Comput. Malte Schilling, Barbara Hammer, Frank W. Ohl, Helge J. Ritter, Laurenz Wiskott
2024	J	`jnl`	ProtoP-OD: Explainable Object Detection with Prototypical Parts. CoRR Pavlos Rath-Manakidis, Frederik Strothmann, Tobias Glasmachers, Laurenz Wiskott
2024	J	`jnl`	Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task. CoRR Raphael C. Engelhardt, Marcel J. Meinen, Moritz Lange, Laurenz Wiskott, Wolfgang Konen
2024	J	`jnl`	What is the relationship between Slow Feature Analysis and the Successor Representation? CoRR Eddie Seabrook, Laurenz Wiskott
2024	J	`jnl`	tachAId - An interactive tool supporting the design of human-centered AI solutions. Frontiers Artif. Intell. Max Bauroth, Pavlos Rath-Manakidis, Valentin Langholf, Laurenz Wiskott, Tobias Glasmachers
2023	J	`jnl`	A Tutorial on the Spectral Theory of Markov Chains. Neural Comput. Eddie Seabrook, Laurenz Wiskott
2023	—	`conf`	Ein Dashboard für die Studienberatung: Technische Infrastruktur und Studienverlaufsplanung im Projekt KI: edu.nrw. DELFI Workshops Frederik Baucks, Jonas Leschke, Christian Metzger, Laurenz Wiskott
2023	J	`jnl`	Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison. CoRR Moritz Lange, Noah Krystiniak, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott
2023	—	`conf`	Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison. LOD (2) Moritz Lange, Noah Krystiniak, Raphael C. Engelhardt, Wolfgang Konen, Laurenz Wiskott
2023	J	`jnl`	Iterative Oblique Decision Trees Deliver Explainable RL Models. Algorithms Raphael C. Engelhardt, Marc Oedingen, Moritz Lange, Laurenz Wiskott, Wolfgang Konen
2023	—	`conf`	Mitigating Biases using an Additive Grade Point Model: Towards Trustworthy Curriculum Analytics Measures. DELFI Frederik Baucks, Laurenz Wiskott
2023	—	`conf`	Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning. LOD (2) Raphael C. Engelhardt, Ralitsa Raycheva, Moritz Lange, Laurenz Wiskott, Wolfgang Konen
2022	J	`jnl`	A Model of Semantic Completion in Generative Episodic Memory. Neural Comput. Zahra Fayyaz, Aya Altamimi, Carina Zoellner, Nicole Klein, Oliver T. Wolf, Sen Cheng, Laurenz Wiskott
2022	J	`jnl`	A Tutorial on the Spectral Theory of Markov Chains. CoRR Eddie Seabrook, Laurenz Wiskott
2022	J	`jnl`	Latent Representation Prediction Networks. Int. J. Pattern Recognit. Artif. Intell. Hlynur Davíð Hlynsson, Merlin Schüler, Robin Schiewer, Tobias Glasmachers, Laurenz Wiskott
2022	C	`conf`	Reduction of Variance-related Error through Ensembling: Deep Double Descent and Out-of-Distribution Generalization. ICPRAM Pavlos Rath-Manakidis, Hlynur Davíð Hlynsson, Laurenz Wiskott
2022	—	`conf`	Sample-Based Rule Extraction for Explainable Reinforcement Learning. LOD (1) Raphael C. Engelhardt, Moritz Lange, Laurenz Wiskott, Wolfgang Konen
2022	B	`conf`	Simulating Policy Changes in Prerequisite-Free Curricula: A Supervised Data-Driven Approach. EDM Frederik Baucks, Laurenz Wiskott
2021	J	`jnl`	A model of semantic completion in generative episodic memory. CoRR Zahra Fayyaz, Aya Altamimi, Sen Cheng, Laurenz Wiskott
2021	C	`conf`	Exploring Slow Feature Analysis for Extracting Generative Latent Factors. ICPRAM Max Menne, Merlin Schüler, Laurenz Wiskott
2021	J	`jnl`	Modular Networks Prevent Catastrophic Interference in Model-Based Multi-Task Reinforcement Learning. CoRR Robin Schiewer, Laurenz Wiskott
2021	—	`conf`	Modular Networks Prevent Catastrophic Interference in Model-Based Multi-task Reinforcement Learning. LOD Robin Schiewer, Laurenz Wiskott
2021	C	`conf`	Reward Prediction for Representation Learning and Reward Shaping. IJCCI Hlynur Davíð Hlynsson, Laurenz Wiskott
2021	J	`jnl`	Reward prediction for representation learning and reward shaping. CoRR Hlynur Davíð Hlynsson, Laurenz Wiskott
2020	J	`jnl`	Improved graph-based SFA: information preservation complements the slowness principle. Mach. Learn. Alberto N. Escalante-B., Laurenz Wiskott
2020	B	`conf`	Investigating Parallelization of MAML. DS Jan Bollenbacher, Florian Soulier, Beate Rhein, Laurenz Wiskott
2020	J	`jnl`	Latent Representation Prediction Networks. CoRR Hlynur Davíð Hlynsson, Merlin Schüler, Robin Schiewer, Tobias Glasmachers, Laurenz Wiskott
2020	J	`jnl`	Singular Sturm-Liouville Problems with Zero Potential (q=0) and Singular Slow Feature Analysis. CoRR Stefan Richthofer, Laurenz Wiskott
2019	J	`jnl`	A Hippocampus Model for Online One-Shot Storage of Pattern Sequences. CoRR Jan Melchior, Mehdi Bayati, Amir Hossein Azizi, Sen Cheng, Laurenz Wiskott
2019	C	`conf`	Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening. ACML Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott
2019	J	`jnl`	Hebbian-Descent. CoRR Jan Melchior, Laurenz Wiskott
2019	—	`conf`	Laplacian Matrix for Dimensionality Reduction and Clustering. eBISS Laurenz Wiskott, Fabian Schönfeld
2019	J	`jnl`	Laplacian Matrix for Dimensionality Reduction and Clustering. CoRR Laurenz Wiskott, Fabian Schönfeld
2019	Misc	`conf`	Learning Gradient-Based ICA by Neurally Estimating Mutual Information. KI Hlynur Davíð Hlynsson, Laurenz Wiskott
2019	J	`jnl`	Learning gradient-based ICA by neurally estimating mutual information. CoRR Hlynur Davíð Hlynsson, Laurenz Wiskott
2019	C	`conf`	Measuring the Data Efficiency of Deep Learning Methods. ICPRAM Hlynur Davíð Hlynsson, Alberto N. Escalante-B., Laurenz Wiskott
2019	J	`jnl`	Measuring the Data Efficiency of Deep Learning Methods. CoRR Hlynur Davíð Hlynsson, Alberto N. Escalante-B., Laurenz Wiskott
2018	J	`jnl`	Global Navigation Using Predictable and Slow Feature Analysis in Multiroom Environments, Path Planning and Other Control Tasks. CoRR Stefan Richthofer, Laurenz Wiskott
2018	J	`jnl`	Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening. CoRR Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott
2018	J	`jnl`	Slowness as a Proxy for Temporal Predictability: An Empirical Comparison. Neural Comput. Björn Weghenkel, Laurenz Wiskott
2018	J	`jnl`	The Interaction between Semantic Representation and Episodic Memory. Neural Comput. Jing Fang, Naima Rüther, Christian Bellebaum, Laurenz Wiskott, Sen Cheng
2018	—	`conf`	Utilizing Slow Feature Analysis for Lipreading. ITG Symposium on Speech Communication Jan Freiwald, Mahdie Karbasi, Steffen Zeiler, Jan Melchior, Varun Raj Kompella, Laurenz Wiskott, Dorothea Kolossa
2017	J	`jnl`	Graph-based predictable feature analysis. Mach. Learn. Björn Weghenkel, Asja Fischer, Laurenz Wiskott
2017	J	`jnl`	Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and Non-Stationary Environments. CoRR Varun Raj Kompella, Laurenz Wiskott
2017	J	`jnl`	PFAx: Predictable Feature Analysis to Perform Control. CoRR Stefan Richthofer, Laurenz Wiskott
2016	J	`jnl`	Graph-based Predictable Feature Analysis. CoRR Björn Weghenkel, Asja Fischer, Laurenz Wiskott
2016	J	`jnl`	How to Center Deep Boltzmann Machines. J. Mach. Learn. Res. Jan Melchior, Asja Fischer, Laurenz Wiskott
2016	J	`jnl`	Improved graph-based SFA: Information preservation complements the slowness principle. CoRR Alberto N. Escalante-B., Laurenz Wiskott
2016	J	`jnl`	Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs. J. Mach. Learn. Res. Alberto N. Escalante-B., Laurenz Wiskott
2015	J	`jnl`	Memory Storage Fidelity in the Hippocampal Circuit: The Role of Subregions and Input Statistics. PLoS Comput. Biol. Torsten Neher, Sen Cheng, Laurenz Wiskott
2015	J	`jnl`	Modeling place field activity with hierarchical slow feature analysis. Frontiers Comput. Neurosci. Fabian Schönfeld, Laurenz Wiskott
2015	C	`conf`	Predictable Feature Analysis. ICMLA Stefan Richthofer, Laurenz Wiskott
2015	J	`jnl`	Theoretical Analysis of the Optimal Free Responses of Graph-Based SFA for the Design of Training Graphs. CoRR Alberto N. Escalante-B., Laurenz Wiskott
2014	J	`jnl`	An extension of slow feature analysis for nonlinear blind source separation. J. Mach. Learn. Res. Henning Sprekeler, Tiziano Zito, Laurenz Wiskott
2014	J	`jnl`	Elastic Bunch Graph Matching. Scholarpedia Laurenz Wiskott, Rolf P. Würtz, Günter Westphal
2014	J	`jnl`	Gaussian-binary Restricted Boltzmann Machines on Modeling Natural Image Statistics. CoRR Nan Wang, Jan Melchior, Laurenz Wiskott
2014	B	`conf`	Learning predictive partitions for continuous feature spaces. ESANN Björn Weghenkel, Laurenz Wiskott
2014	—	`conf`	Modeling correlations in spontaneous activity of visual cortex with centered Gaussian-binary deep Boltzmann machines. ICLR (Workshop Poster) Nan Wang, Laurenz Wiskott, Dirk Jancke
2014	J	`jnl`	Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells. PLoS Comput. Biol. Sven Dähne, Niko Wilbert, Laurenz Wiskott
2014	—	`ch.`	Slow Feature Analysis. Encyclopedia of Computational Neuroscience Laurenz Wiskott
2013	J	`jnl`	A computational model for preplay in the hippocampus. Frontiers Comput. Neurosci. Amir Hossein Azizi, Laurenz Wiskott, Sen Cheng
2013	J	`jnl`	Building extensible frameworks for data processing: The case of MDP, Modular toolkit for Data Processing. J. Comput. Sci. Niko Wilbert, Tiziano Zito, Rike-Benjamin Schuppner, Zbigniew Jedrzejewski-Szmek, Laurenz Wiskott, Pietro Berkes
2013	J	`jnl`	Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? IEEE Trans. Pattern Anal. Mach. Intell. Norbert Krüger, Peter Janssen, Sinan Kalkan, Markus Lappe, Ales Leonardis, Justus H. Piater, Antonio Jose Rodríguez-Sánchez, Laurenz Wiskott
2013	J	`jnl`	How to Center Binary Restricted Boltzmann Machines. CoRR Jan Melchior, Asja Fischer, Nan Wang, Laurenz Wiskott
2013	J	`jnl`	How to solve classification and regression problems on high-dimensional data with a supervised extension of slow feature analysis. J. Mach. Learn. Res. Alberto N. Escalante, Laurenz Wiskott
2013	J	`jnl`	Multivariate Slow Feature Analysis and Decorrelation Filtering for Blind Source Separation. IEEE Trans. Image Process. Ha Quang Minh, Laurenz Wiskott
2013	J	`jnl`	Predictable Feature Analysis. CoRR Stefan Richthofer, Laurenz Wiskott
2013	J	`jnl`	RatLab: an easy to use tool for place code simulations. Frontiers Comput. Neurosci. Fabian Schönfeld, Laurenz Wiskott
2012	B	`conf`	An analysis of Gaussian-binary restricted Boltzmann machines for natural images. ESANN Nan Wang, Jan Melchior, Laurenz Wiskott
2012	J	`jnl`	Slow Feature Analysis: Perspectives for Technical Applications of a Versatile Learning Algorithm. Künstliche Intell. Alberto N. Escalante, Laurenz Wiskott
2011	J	`jnl`	A Theory of Slow Feature Analysis for Transformation-Based Input Signals with an Application to Complex Cells. Neural Comput. Henning Sprekeler, Laurenz Wiskott
2011	—	`conf`	Heuristic Evaluation of Expansions for Non-linear Hierarchical Slow Feature Analysis. ICMLA (1) Alberto N. Escalante, Laurenz Wiskott
2011	J	`jnl`	Invariant Object Recognition and Pose Estimation with Slow Feature Analysis. Neural Comput. Mathias Franzius, Niko Wilbert, Laurenz Wiskott
2011	A*	`conf`	Slow feature analysis and decorrelation filtering for separating correlated sources. ICCV Ha Quang Minh, Laurenz Wiskott
2011	J	`jnl`	Slow feature analysis. Scholarpedia Laurenz Wiskott, Pietro Berkes, Mathias Franzius, Henning Sprekeler, Niko Wilbert
2011	J	`jnl`	The Role of Additive Neurogenesis and Synaptic Plasticity in a Hippocampal Memory Model with Grid-Cell Like Input. PLoS Comput. Biol. Peter A. Appleby, Gerd Kempermann, Laurenz Wiskott
2010	C	`conf`	Gender and Age Estimation from Synthetic Face Images. IPMU Alberto N. Escalante, Laurenz Wiskott
2010	J	`jnl`	Reinforcement Learning on Slow Features of High-Dimensional Input Streams. PLoS Comput. Biol. Robert Legenstein, Niko Wilbert, Laurenz Wiskott
2008	—	`conf`	Invariant Object Recognition with Slow Feature Analysis. ICANN (1) Mathias Franzius, Niko Wilbert, Laurenz Wiskott
2008	J	`jnl`	Modular toolkit for Data Processing (MDP): a Python data processing framework. Frontiers Neuroinformatics Tiziano Zito, Niko Wilbert, Laurenz Wiskott, Pietro Berkes
2007	J	`jnl`	From grids to places. J. Comput. Neurosci. Mathias Franzius, Roland Vollgraf, Laurenz Wiskott
2007	J	`jnl`	Independent Slow Feature Analysis and Nonlinear Blind Source Separation. Neural Comput. Tobias Blaschke, Tiziano Zito, Laurenz Wiskott
2007	J	`jnl`	Slowness and Sparseness Lead to Place, Head-Direction, and Spatial-View Cells. PLoS Comput. Biol. Mathias Franzius, Henning Sprekeler, Laurenz Wiskott
2007	J	`jnl`	Slowness: An Objective for Spike-Timing-Dependent Plasticity? PLoS Comput. Biol. Henning Sprekeler, Christian Michaelis, Laurenz Wiskott
2006	J	`jnl`	On the Analysis and Interpretation of Inhomogeneous Quadratic Forms as Receptive Fields. Neural Comput. Pietro Berkes, Laurenz Wiskott
2006	J	`jnl`	What Is the Relation Between Slow Feature Analysis and Independent Component Analysis? Neural Comput. Tobias Blaschke, Pietro Berkes, Laurenz Wiskott
2004	J	`jnl`	CuBICA: independent component analysis by simultaneous third- and fourth-order cumulant diagonalization. IEEE Trans. Signal Process. Tobias Blaschke, Laurenz Wiskott
2004	—	`conf`	Independent Slow Feature Analysis and Nonlinear Blind Source Separation. ICA Tobias Blaschke, Laurenz Wiskott
2004	—	`conf`	Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis. NIPS Tobias Blaschke, Laurenz Wiskott
2003	J	`jnl`	Slow Feature Analysis: A Theoretical Analysis of Optimal Free Responses. Neural Comput. Laurenz Wiskott
2002	C	`conf`	An Improved Cumulant Based Method for Independent Component Analysis. ICANN Tobias Blaschke, Laurenz Wiskott
2002	C	`conf`	Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties. ICANN Pietro Berkes, Laurenz Wiskott
2002	J	`jnl`	Slow Feature Analysis: Unsupervised Learning of Invariances. Neural Comput. Laurenz Wiskott, Terrence J. Sejnowski
1999	J	`jnl`	Learning invariance manifolds. Neurocomputing Laurenz Wiskott
1999	J	`jnl`	Segmentation from motion: combining Gabor- and Mallat-wavelets to overcome the aperture and correspondence problems. Pattern Recognit. Laurenz Wiskott
1999	J	`jnl`	The role of topographical constraints in face recognition. Pattern Recognit. Lett. Laurenz Wiskott
1998	J	`jnl`	Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization. Neural Comput. Laurenz Wiskott, Terrence J. Sejnowski
1997	C	`conf`	Face Recognition by Elastic Bunch Graph Matching. CAIP Laurenz Wiskott, Jean-Marc Fellous, Norbert Krüger, Christoph von der Malsburg
1997	—	`conf`	Face Recognition by Elastic Bunch Graph Matching. ICIP (1) Laurenz Wiskott, Jean-Marc Fellous, Norbert Krüger, Christoph von der Malsburg
1997	J	`jnl`	Face Recognition by Elastic Bunch Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. Laurenz Wiskott, Jean-Marc Fellous, Norbert Krüger, Christoph von der Malsburg
1997	C	`conf`	Objective Functions for Neural Map Formation. ICANN Laurenz Wiskott, Terrence J. Sejnowski
1997	C	`conf`	Phantom Faces for Face Analysis. CAIP Laurenz Wiskott
1997	—	`conf`	Phantom faces for face analysis. ICIP (3) Laurenz Wiskott
1997	J	`jnl`	Phantom faces for face analysis. Pattern Recognit. Laurenz Wiskott
1997	C	`conf`	Segmentation from Motion: Combining Gabor- and Mallat-Wavelets to Overcome Aperture and Correspondence Problem. CAIP Laurenz Wiskott
1996	J	`jnl`	Recognizing Faces by Dynamic Link Matching. NeuroImage Laurenz Wiskott, Christoph von der Malsburg
1996	C	`conf`	Reconstruction from Graphs Labeled with Responses of Gabor Filters. ICANN Michael Pötzsch, Thomas Maurer, Laurenz Wiskott, Christoph von der Malsburg
1995	—	`—`	Labeled graphs and dynamic link matching for face recognition and scene analysis. Laurenz Wiskott
1993	J	`jnl`	A Neural System for the Recognition of Partially Occluded Objects in Cluttered Scenes: A Pilot Study. Int. J. Pattern Recognit. Artif. Intell. Laurenz Wiskott, Christoph von der Malsburg
1990	J	`jnl`	An experimental multiprocessor system for distributed parallel computations. Microprocessing and Microprogramming L. De Maeyer, A. Di Nicola, R. Maetche, Christoph von der Malsburg, Laurenz Wiskott