| Gradient-based training of slow feature analysis by differentiable approximate whitening M Schüler, HD Hlynsson, L Wiskott Asian Conference on Machine Learning, 316-331, 2019 | 12 | 2019 |
| Adaptation of Dynamic Data‐Driven Models for Real‐Time Applications: From Simulated to Real Batch Distillation Trajectories by Transfer Learning GB Rihm, M Schueler, C Nentwich, E Esche, JU Repke Chemie Ingenieur Technik, 2023 | 4 | 2023 |
| Dual SVM training on a budget S Qaadan, M Schüler, T Glasmachers arXiv preprint arXiv:1806.10182, 2018 | 4 | 2018 |
| Latent representation prediction networks H David Hlynsson, M Schüler, R Schiewer, T Glasmachers, L Wiskott International Journal of Pattern Recognition and Artificial Intelligence 36 …, 2022 | 1 | 2022 |
| Exploring Slow Feature Analysis for Extracting Generative Latent Factors. M Menne, M Schüler, L Wiskott ICPRAM, 120-131, 2021 | | 2021 |
| Online Budgeted Stochastic Coordinate Ascent for Large-Scale Kernelized Dual Support Vector Machine Training S Qaadan, A Pendyala, M Schüler, T Glasmachers Pattern Recognition Applications and Methods: 8th International Conference …, 2020 | | 2020 |
| EfferenceNets for latent space planning HD Hlynsson, M Schüler, R Schiewer, L Wiskott | | 2019 |
Laurenz WiskottProfessor of Theory of Neural Systems, Institut für Neuroinformatik, Ruhr-Universität BochumVerified email at ini.rub.de
