Anomaly Detection for imbalanced datasets with Deep Generative Models. - Nazly Rocio Santos Buitrago; Loek Tonnaer; Vlado Menkovski; Dimitrios Mavroeidis (CoRR, 2018)

Anomaly Detection for Visual Quality Control of 3D-Printed Products. - Loek Tonnaer; Jiapeng Li; Vladimir Osin; Mike Holenderski; Vlado Menkovski (IJCNN, 2019)

Quantifying and Learning Disentangled Representations with Limited Supervision. - Loek Tonnaer; Luis A. Pérez Rey; Vlado Menkovski; Mike Holenderski; Jacobus W. Portegies (CoRR, 2020)

A Metric for Linear Symmetry-Based Disentanglement. - Luis A. Pérez Rey; Loek Tonnaer; Vlado Menkovski; Mike Holenderski; Jacobus W. Portegies (CoRR, 2020)

SHREC 2021: Retrieval of cultural heritage objects. - Ivan Sipiran; Patrick Lazo; Cristian Lopez; Milagritos Jimenez; Nihar Bagewadi; Benjamin Bustos; Hieu Dao; Shankar Gangisetty; Martin Hanik; Ngoc-Phuong Ho-Thi; Mike Holenderski; Dmitri Jarnikov; et al. (Comput. Graph., 2021)

Quantifying and Learning Linear Symmetry-Based Disentanglement. - Loek Tonnaer; Luis Armando Pérez Rey; Vlado Menkovski; Mike Holenderski; Jim Portegies (ICML, 2022)

Out-of-Distribution Generalisation with Symmetry-Based Disentangled Representations. - Loek Tonnaer; Mike Holenderski; Vlado Menkovski (IDA, 2023)