Michaël Fanuel

CoRR, 2024

Ellipsoidal embeddings of graphs.

[BibT_eX]

[DOI]

Antoine Aspeel

Michael T. Schaub

Jean-Charles Delvenne

CoRR, 2024

2023

On sampling determinantal and Pfaffian point processes on a quantum computer.

[BibT_eX]

[DOI]

Alexandre Feller

CoRR, 2023

Smoothing Complex-Valued Signals on Graphs with Monte-Carlo.

[BibT_eX]

[DOI]

Hugo Jaquard

Pierre-Olivier Amblard

Simon Barthelmé

Nicolas Tremblay

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Determinantal Point Processes Implicitly Regularize Semiparametric Regression Problems.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., September, 2022

Positive Semi-definite Embedding for Dimensionality Reduction and Out-of-Sample Extensions.

[BibT_eX]

[DOI]

Antoine Aspeel

Jean-Charles Delvenne

SIAM J. Math. Data Sci., 2022

Disentangled Representation Learning and Generation With Manifold Optimization.

[BibT_eX]

[DOI]

Neural Comput., 2022

Nyström landmark sampling and regularized Christoffel functions.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Sparsification of the regularized magnetic Laplacian with multi-type spanning forests.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Diversity Sampling is an Implicit Regularization for Kernel Methods.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2021

The Bures Metric for Generative Adversarial Networks.

[BibT_eX]

[DOI]

Hannes De Meulemeester

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Nonparametric estimation of continuous DPPs with kernel methods.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks.

[BibT_eX]

[DOI]

Hannes De Meulemeester

Bart De Moor

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Recovering Hölder smooth functions from noisy modulo samples.

[BibT_eX]

[DOI]

Hemant Tyagi

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems.

[BibT_eX]

[DOI]

CoRR, 2020

Ensemble Kernel Methods, Implicit Regularization and Determinental Point Processes.

[BibT_eX]

[DOI]

CoRR, 2020

The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks.

[BibT_eX]

[DOI]

Hannes De Meulemeester

CoRR, 2020

Wasserstein Exponential Kernels.

[BibT_eX]

[DOI]

Henri De Plaen

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Robust classification of graph-based data.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2019

Towards Deterministic Diverse Subset Sampling.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Machine Learning, 2019

2018

Convex Formulation for Kernel PCA and Its Use in Semisupervised Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

2016

Magnetic Eigenmaps for Visualization of Directed Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Magnetic eigenmaps for community detection in directed networks.

[BibT_eX]

[DOI]

CoRR, 2016

Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning.

[BibT_eX]

[DOI]