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Michaël Fanuel
Michaël Fanuel
Postdoctoral Researcher, CNRS, Université de Lille, France
Adresse e-mail validée de univ-lille.fr - Page d'accueil
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Magnetic eigenmaps for community detection in directed networks
M Fanuel, CM Alaíz, JAK Suykens
Physical Review E 95 (2), 022302, 2017, 2016
492016
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
412018
Affine quantization and the initial cosmological singularity
M Fanuel, S Zonetti
EPL (Europhysics Letters) 101 (1), 10001, 2013
332013
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
322017
Wasserstein Exponential Kernels
H De Plaen, M Fanuel, JAK Suykens
International Joint Conference on Neural Networks (IJCNN 2020), 2020
182020
Disentangled Representation Learning and Generation with Manifold Optimization
A Pandey, M Fanuel, J Schreurs, JAK Suykens
Neural Computation 34 (10), 2009–2036, 2022
162022
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
152021
Deformed Laplacians and spectral ranking in directed networks
M Fanuel, JAK Suykens
Applied and Computational Harmonic Analysis 47 (2), 397-422, 2017
122017
Denoising modulo samples: k-NN regression and tightness of SDP relaxation
M Fanuel, H Tyagi
Information and Inference: a journal of the IMA, 2021
112021
Nyström landmark sampling and regularized Christoffel functions
M Fanuel, J Schreurs, JAK Suykens
Machine Learning 111, 2213-2254, 2022
92022
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
92020
Sparsification of the regularized magnetic Laplacian with multi-type spanning forests
M Fanuel, R Bardenet
https://arxiv.org/abs/2208.14797, 2022
82022
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
52022
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
42023
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
42022
Robust classification of graph-based data
CM Alaíz, M Fanuel, JAK Suykens
Data Mining and Knowledge Discovery 33 (1), 230-251, 2019
42019
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
32014
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
32012
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
22020
Towards deterministic diverse subset sampling
J Schreurs, M Fanuel, JAK Suykens
Artificial Intelligence and Machine Learning, 137-151, 2019
22019
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