| Generative Restricted Kernel Machines: A Framework for Multi-view Generation and Disentangled Feature Learning A Pandey, J Schreurs, JAK Suykens Neural Networks 135, 177-191, 2021 | 19* | 2021 |
| Disentangled representation learning and generation with manifold optimization A Pandey, M Fanuel, J Schreurs, JAK Suykens Neural Computation 34 (10), 2009-2036, 2022 | 16 | 2022 |
| Diversity sampling is an implicit regularization for kernel methods M Fanuel, J Schreurs, J Suykens SIAM Journal on Mathematics of Data Science 3 (1), 280-297, 2021 | 15 | 2021 |
| Latent space exploration using generative kernel PCA D Winant, J Schreurs, JAK Suykens Artificial Intelligence and Machine Learning: 31st Benelux AI Conference …, 2020 | 14 | 2020 |
| Outlier detection in non-elliptical data by kernel MRCD J Schreurs, I Vranckx, M Hubert, JAK Suykens, PJ Rousseeuw Statistics and Computing 31 (5), 66, 2021 | 12 | 2021 |
| Generative kernel pca J Schreurs, J Suykens European Symposium on Artificial Neural Networks, Computational Intelligence …, 2018 | 11 | 2018 |
| Nyström landmark sampling and regularized Christoffel functions M Fanuel, J Schreurs, JAK Suykens Machine Learning 111 (6), 2213-2254, 2022 | 9 | 2022 |
| The bures metric for generative adversarial networks H De Meulemeester, J Schreurs, M Fanuel, B De Moor, JAK Suykens Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 9 | 2021 |
| Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality A Pandey, J Schreurs, JAK Suykens The Sixth International Conference on Machine Learning, Optimization, and …, 2020 | 9 | 2020 |
| Determinantal point processes implicitly regularize semiparametric regression problems M Fanuel, J Schreurs, JAK Suykens SIAM Journal on Mathematics of Data Science 4 (3), 1171-1190, 2022 | 4 | 2022 |
| Island Transpeciation: A Co-Evolutionary Neural Architecture Search, applied to country-scale air-quality forecasting K Theodorakos, OM Agudelo, J Schreurs, JAK Suykens, B De Moor IEEE Transactions on Evolutionary Computation, 2022 | 3 | 2022 |
| The Bures metric for taming mode collapse in generative adversarial networks H De Meulemeester, J Schreurs, M Fanuel, B De Moor, J Suykens | 3 | 2020 |
| The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks. HD Meulemeester, J Schreurs, M Fanuel, BD Moor, JAK Suykens CoRR, 2020 | 3 | 2020 |
| Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes J Schreurs, M Fanuel, JAK Suykens ICML 2020 Workshop on Negative Dependence and Submodularity for ML, 2020 | 2 | 2020 |
| Towards deterministic diverse subset sampling J Schreurs, M Fanuel, J Suykens Proc. of the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019 | 2 | 2019 |
| Ozone forecasting across Belgium with co-evolutionary neural architecture search K Theodorakos, OM Agudelo Manozca, J Schreurs, J Suykens, B De Moor Proceedings of BNAIC/BeNeLearn 2022, 2022 | | 2022 |
| Trustworthy Kernel Machines: Diversity, Robustness, and Disentanglement J Schreurs | | 2021 |
| Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks J Schreurs, H De Meulemeester, M Fanuel, B De Moor, JAK Suykens International Conference on Machine Learning, Optimization, and Data Science …, 2021 | | 2021 |
Johan SuykensProfessor, KU LeuvenVerified email at esat.kuleuven.be
