Michaël Fanuel

Publications

Pré-publication, Document de travail (4)

Ellipsoidal embeddings of graphs Michaël Fanuel,Antoine Aspeel,Michael T. Schaub,Jean-Charles Delvenne 2024 Pré-publication, Document de travail hal-04522131v1
Disentangled Representation Learning and Generation with Manifold Optimization Arun Pandey,Michaël Fanuel,Joachim Schreurs,Johan A. K. Suykens 2022 Pré-publication, Document de travail hal-03511352v1
Nyström landmark sampling and regularized Christoffel functions Michaël Fanuel,Joachim Schreurs,Johan A. K. Suykens 2022 Pré-publication, Document de travail hal-03511384v1
Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions Michaël Fanuel,Antoine Aspeel,Jean-Charles Delvenne,Johan A. K. Suykens 2022 Pré-publication, Document de travail hal-03511366v1

Article dans une revue (2)

On sampling determinantal and Pfaffian point processes on a quantum computer Rémi Bardenet,Michaël Fanuel,Alexandre Feller Journal of Physics A: Mathematical and Theoretical, 2024, 57 (5), pp.055202. ⟨10.1088/1751-8121/ad1b75⟩ Article dans une revue hal-04107251v1
Denoising modulo samples: k-NN regression and tightness of SDP relaxation Michaël Fanuel,Hemant Tyagi Information and Inference, 2021, ⟨10.1093/imaiai/iaab022⟩ Article dans une revue hal-03101740v2

Communication dans un congrès (3)

Recovering Hölder smooth functions from noisy modulo samples Michaël Fanuel,Hemant Tyagi 55th Asilomar Conference on Signals, Systems, and Computers, IEEE Signal Processing Society, Oct 2021, Pacific Grove, CA, United States. pp.857-861, ⟨10.1109/IEEECONF53345.2021.9723268⟩ Communication dans un congrès hal-03511325v1
Nonparametric estimation of continuous DPPs with kernel methods Michaël Fanuel,R. Bardenet NeurIPS 2021 - Thirty-fifth Conference on Neural Information Processing Systems, 2021, Virtual event, Turkmenistan Communication dans un congrès hal-03368398v1
Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks Joachim Schreurs,Hannes de Meulemeester,Michaël Fanuel,Bart de Moor,Johan A. K. Suykens The 7th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science, Oct 2021, Grasmere, United Kingdom Communication dans un congrès hal-03511336v1

Chapitre d'ouvrage (1)

The Bures Metric for Generative Adversarial Networks Hannes de Meulemeester,Joachim Schreurs,Michaël Fanuel,Bart de Moor,Johan Suykens Machine Learning and Knowledge Discovery in Databases. Research Track, 12976, Springer International Publishing, pp.52-66, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-86520-7_4⟩ Chapitre d'ouvrage hal-03511345v1