| 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 |
| Recurrent restricted kernel machines for time-series forecasting A Pandey, H De Meulemeester, H De Plaen, B De Moor, J Suykens Proceedings of ESANN 2022, 2022 | 4 | 2022 |
| Unsupervised embeddings for categorical variables H De Meulemeester, B De Moor 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 4 | 2020 |
| Multi-view kernel PCA for time series forecasting A Pandey, H De Meulemeester, B De Moor, JAK Suykens Neurocomputing 554, 126639, 2023 | 3 | 2023 |
| 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 |
| Unsupervised Representation Learning and Health Insurance Anomaly Detection H De Meulemeester | | 2024 |
| Duality in Multi-View Restricted Kernel Machines S Achten, A Pandey, H De Meulemeester, B De Moor, JAK Suykens arXiv preprint arXiv:2305.17251, 2023 | | 2023 |
| 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 |
