Quantifying and Learning Linear Symmetry-Based Disentanglement L Tonnaer, LAP Rey, V Menkovski, M Holenderski, JW Portegies | 16 | 2021 |
SHREC 2021: Retrieval of cultural heritage objects I Sipiran, P Lazo, C Lopez, M Jimenez, N Bagewadi, B Bustos, H Dao, ... Computers & Graphics 100, 1-20, 2021 | 14 | 2021 |
Anomaly detection for imbalanced datasets with deep generative models NRS Buitrago, L Tonnaer, V Menkovski, D Mavroeidis arXiv preprint arXiv:1811.00986, 2018 | 8 | 2018 |
Anomaly detection for visual quality control of 3D-printed products L Tonnaer, J Li, V Osin, M Holenderski, V Menkovski 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 5 | 2019 |
Active learning in vae latent space LMA Tonnaer Eindhoven University of Technology, 2017 | 4 | 2017 |
A metric for linear symmetry-based disentanglement LAP Rey, L Tonnaer, V Menkovski, M Holenderski, JW Portegies arXiv preprint arXiv:2011.13306, 2020 | 1 | 2020 |
Quantifying and Learning Disentangled Representations with Limited Supervision L Tonnaer, LAP Rey, V Menkovski, M Holenderski, JW Portegies arXiv preprint arXiv:2011.06070, 2020 | 1 | 2020 |
Linearly Symmetry-Based Disentangled Representations and their Out-of-Distribution Behaviour L Tonnaer | | 2023 |
Out-of-Distribution Generalisation with Symmetry-Based Disentangled Representations L Tonnaer, M Holenderski, V Menkovski International Symposium on Intelligent Data Analysis, 433-445, 2023 | | 2023 |
A Metric for Linear Symmetry-Based Disentanglement LA Pérez Rey, L Tonnaer, V Menkovski, M Holenderski, JW Portegies arXiv e-prints, arXiv: 2011.13306, 2020 | | 2020 |
Anomaly Detection for imbalanced datasets with Deep Generative Models N Rocio Santos Buitrago, L Tonnaer, V Menkovski, D Mavroeidis arXiv e-prints, arXiv: 1811.00986, 2018 | | 2018 |
Drawing symmetrical graphs using group theory L Tonnaer | | 2014 |