| 2026 | ICPRAM | Is Hierarchical Quantization Essential for Optimal Reconstruction? | Shirin Reyhanian, Laurenz Wiskott |
| 2025 | CogSci | From Minimal Traces to Scenarios of the Past: A Neuro-Computational Model on Regaining Categoricity and Compositionality in Remembering. | Francesca Righetti, Zahra Fayyaz, Laurenz Wiskott, Markus Werning |
| 2024 | ESANN | Antagonism between Classification and Reconstruction Processes in Deep Predictive Coding Networks. | Jan Rathjens, Laurenz Wiskott |
| 2024 | ICANN | Analysis of a Generative Model of Episodic Memory Based on Hierarchical VQ-VAE and Transformer. | Shirin Reyhanian, Zahra Fayyaz, Laurenz Wiskott |
| 2024 | LAK | Gaining Insights into Course Difficulty Variations Using Item Response Theory. | Frederik Baucks, Robin Schmucker, Laurenz Wiskott |
| 2022 | EDM | Simulating Policy Changes in Prerequisite-Free Curricula: A Supervised Data-Driven Approach. | Frederik Baucks, Laurenz Wiskott |
| 2022 | ICPRAM | Reduction of Variance-related Error through Ensembling: Deep Double Descent and Out-of-Distribution Generalization. | Pavlos Rath-Manakidis, Hlynur Dav Hlynsson, Laurenz Wiskott |
| 2021 | IJCCI | Reward Prediction for Representation Learning and Reward Shaping. | Hlynur Dav Hlynsson, Laurenz Wiskott |
| 2021 | ICPRAM | Exploring Slow Feature Analysis for Extracting Generative Latent Factors. | Max Menne, Merlin Schler, Laurenz Wiskott |
| 2020 | DIS | Investigating Parallelization of MAML. | Jan Bollenbacher, Florian Soulier, Beate Rhein, Laurenz Wiskott |
| 2019 | ACML | Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening. | Merlin Schler, Hlynur Dav Hlynsson, Laurenz Wiskott |
| 2019 | ICPRAM | Measuring the Data Efficiency of Deep Learning Methods. | Hlynur Dav Hlynsson, Alberto N. Escalante-B., Laurenz Wiskott |
| 2019 | KI | Learning Gradient-Based ICA by Neurally Estimating Mutual Information. | Hlynur Dav Hlynsson, Laurenz Wiskott |
| 2015 | ICMLA | Predictable Feature Analysis. | Stefan Richthofer, Laurenz Wiskott |
| 2014 | ESANN | Learning predictive partitions for continuous feature spaces. | Bjrn Weghenkel, Laurenz Wiskott |
| 2012 | ESANN | An analysis of Gaussian-binary restricted Boltzmann machines for natural images. | Nan Wang, Jan Melchior, Laurenz Wiskott |
| 2011 | ICCV | Slow feature analysis and decorrelation filtering for separating correlated sources. | Ha Quang Minh, Laurenz Wiskott |
| 2011 | ICMLA | Heuristic Evaluation of Expansions for Non-linear Hierarchical Slow Feature Analysis. | Alberto N. Escalante, Laurenz Wiskott |
| 2010 | IPMU | Gender and Age Estimation from Synthetic Face Images. | Alberto N. Escalante, Laurenz Wiskott |
| 2008 | ICANN | Invariant Object Recognition with Slow Feature Analysis. | Mathias Franzius, Niko Wilbert, Laurenz Wiskott |
| 2002 | ICANN | Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties. | Pietro Berkes, Laurenz Wiskott |
| 2002 | ICANN | An Improved Cumulant Based Method for Independent Component Analysis. | Tobias Blaschke, Laurenz Wiskott |
| 1997 | CAIP | Segmentation from Motion: Combining Gabor- and Mallat-Wavelets to Overcome Aperture and Correspondence Problem. | Laurenz Wiskott |
| 1997 | CAIP | Phantom Faces for Face Analysis. | Laurenz Wiskott |
| 1997 | CAIP | Face Recognition by Elastic Bunch Graph Matching. | Laurenz Wiskott, Jean-Marc Fellous, Norbert Krger, Christoph von der Malsburg |
| 1997 | ICANN | Objective Functions for Neural Map Formation. | Laurenz Wiskott, Terrence J. Sejnowski |
| 1997 | ICIP | Phantom faces for face analysis. | Laurenz Wiskott |
| 1997 | ICIP | Face Recognition by Elastic Bunch Graph Matching. | Laurenz Wiskott, Jean-Marc Fellous, Norbert Krger, Christoph von der Malsburg |
| 1996 | ICANN | Reconstruction from Graphs Labeled with Responses of Gabor Filters. | Michael Ptzsch, Thomas Maurer, Laurenz Wiskott, Christoph von der Malsburg |