| Diffusion Variational Autoencoders LAP Rey, V Menkovski, JW Portegies International Joint Conference on Artificial Intelligence (IJCAI), 2020 | 40 | 2020 |
| One-step nondestructive functionalization of graphene oxide paper with amines N Alzate-Carvajal, DA Acevedo-Guzmán, V Meza-Laguna, MH Farías, ... RSC advances 8 (28), 15253-15265, 2018 | 34 | 2018 |
| Solvent-free functionalization of carbon nanotube buckypaper with amines EV Basiuk, IJ Ramírez-Calera, V Meza-Laguna, E Abarca-Morales, ... Applied Surface Science 357, 1355-1368, 2015 | 29 | 2015 |
| Extended 2D scene image-based 3D scene retrieval H Abdul-Rashid, J Yuan, B Li, Y Lu, T Schreck, NM Bui, TL Do, ... Eurographics Workshop on 3D Object Retrieval, 2019 | 22* | 2019 |
| Quantifying and Learning Linear Symmetry-Based Disentanglement L Tonnaer, LAP Rey, V Menkovski, M Holenderski, JW Portegies International Conference on Machine Learning (ICML), 2020 | 16 | 2020 |
| 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 |
| A comparison of methods for 3D scene shape retrieval J Yuan, H Abdul-Rashid, B Li, Y Lu, T Schreck, S Bai, X Bai, NM Bui, ... Computer vision and image understanding 201, 103070, 2020 | 8 | 2020 |
| Disentanglement with hyperspherical latent spaces using diffusion variational autoencoders LAP Rey arXiv preprint arXiv:2003.08996, 2020 | 5 | 2020 |
| Content-Based Image Retrieval from Weakly-Supervised Disentangled Representations LAP Rey, D Jarnikov, M Holenderski NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021 | 3 | 2021 |
| 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 |
| Can VAEs capture topological properties? LAP Rey, V Menkovski, JW Portegies NeurIPS 2019 Workshop, 2019 | 1 | 2019 |
| Equivariant Representations for Non-Free Group Actions LAP Rey, GL Marchetti, D Kragic, D Jarnikov, M Holenderski NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022 | | 2022 |
| Identifying the Sources of Uncertainty in Object Classification LAP Rey, B İşler, M Holenderski, D Jarnikov | | 2020 |
| Semi-supervised Pose Estimation with Geometric Latent Representations LAP Rey, D Jarnikov, M Holenderski | | 2019 |
| Latent Variable Separation with Variational Autoencoders LAP Rey Master’s thesis, https://pure. tue. nl/ws/portalfiles/portal/125630525 …, 0 | | |
Vlado MenkovskiEindhoven University of TechnologyVerified email at tue.nl
