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Loek Tonnaer
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Cited by
Year
Quantifying and Learning Linear Symmetry-Based Disentanglement
L Tonnaer, LAP Rey, V Menkovski, M Holenderski, JW Portegies
162021
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
142021
Anomaly detection for imbalanced datasets with deep generative models
NRS Buitrago, L Tonnaer, V Menkovski, D Mavroeidis
arXiv preprint arXiv:1811.00986, 2018
82018
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
52019
Active learning in vae latent space
LMA Tonnaer
Eindhoven University of Technology, 2017
42017
A metric for linear symmetry-based disentanglement
LAP Rey, L Tonnaer, V Menkovski, M Holenderski, JW Portegies
arXiv preprint arXiv:2011.13306, 2020
12020
Quantifying and Learning Disentangled Representations with Limited Supervision
L Tonnaer, LAP Rey, V Menkovski, M Holenderski, JW Portegies
arXiv preprint arXiv:2011.06070, 2020
12020
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
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Articles 1–12