| Magnetic eigenmaps for community detection in directed networks M Fanuel, CM Alaíz, JAK Suykens Physical Review E 95 (2), 022302, 2017, 2016 | 49 | 2016 |
| Magnetic eigenmaps for the visualization of directed networks M Fanuel, CM Alaíz, Á Fernández, JAK Suykens Applied and Computational Harmonic Analysis 44 (1), 189-199, 2018 | 41 | 2018 |
| Affine quantization and the initial cosmological singularity M Fanuel, S Zonetti EPL (Europhysics Letters) 101 (1), 10001, 2013 | 33 | 2013 |
| Convex formulation for kernel PCA and its use in semisupervised learning CM Alaíz, M Fanuel, JAK Suykens IEEE transactions on neural networks and learning systems 29 (8), 3863-3869, 2017 | 32 | 2017 |
| Wasserstein Exponential Kernels H De Plaen, M Fanuel, JAK Suykens International Joint Conference on Neural Networks (IJCNN 2020), 2020 | 17 | 2020 |
| Disentangled Representation Learning and Generation with Manifold Optimization A Pandey, M Fanuel, J Schreurs, JAK Suykens Neural Computation 34 (10), 2009–2036, 2022 | 15 | 2022 |
| Diversity sampling is an implicit regularization for kernel methods M Fanuel, J Schreurs, JAK Suykens SIAM Journal on Mathematics of Data Science 3 (1), 280-297, 2021 | 15 | 2021 |
| Deformed Laplacians and spectral ranking in directed networks M Fanuel, JAK Suykens Applied and Computational Harmonic Analysis 47 (2), 397-422, 2017 | 12 | 2017 |
| Denoising modulo samples: k-NN regression and tightness of SDP relaxation M Fanuel, H Tyagi Information and Inference: a journal of the IMA, 2021 | 10 | 2021 |
| Nyström landmark sampling and regularized Christoffel functions M Fanuel, J Schreurs, JAK Suykens Machine Learning 111, 2213-2254, 2022 | 9 | 2022 |
| The Bures Metric for Generative Adversarial Networks H De Meulemeester, J Schreurs, M Fanuel, B De Moor, JAK Suykens European Conference on Machine Learning and Principles and Practice of …, 2020 | 9 | 2020 |
| Sparsification of the regularized magnetic Laplacian with multi-type spanning forests M Fanuel, R Bardenet https://arxiv.org/abs/2208.14797, 2022 | 8 | 2022 |
| Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions M Fanuel, A Aspeel, JC Delvenne, JAK Suykens SIAM Journal on Mathematics of Data Science, 2022 | 5 | 2022 |
| Smoothing complex-valued signals on Graphs with Monte-Carlo H Jaquard, M Fanuel, PO Amblard, R Bardenet, S Barthelmé, N Tremblay International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 | 4 | 2023 |
| Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems M Fanuel, J Schreurs, JAK Suykens SIAM journal on Mathematics of Data Science 4 (3), 1171-1190, 2022 | 4 | 2022 |
| Robust classification of graph-based data CM Alaíz, M Fanuel, JAK Suykens Data Mining and Knowledge Discovery 33 (1), 230-251, 2019 | 4 | 2019 |
| Dressed fermions, modular transformations and bosonization in the compactified Schwinger model M Fanuel, J Govaerts Journal of Physics A: Mathematical and Theoretical 45 (3), 035401, 2012 | 3 | 2012 |
| 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, Vienna …, 2020 | 2 | 2020 |
| Towards deterministic diverse subset sampling J Schreurs, M Fanuel, JAK Suykens Artificial Intelligence and Machine Learning, 137-151, 2019 | 2 | 2019 |
| The N= 1 supersymmetric Wong equations and the non-abelian Landau problem M Fanuel, J Govaerts, GYH Avossevou, AF Dossa Journal of Physics A: Mathematical and Theoretical 47 (46), 465401, 2014 | 2 | 2014 |
Johan SuykensProfessor, KU LeuvenVerified email at esat.kuleuven.be
