Joachim Schreurs

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 27

Top Topics

Outlier Detection

Kernel Machines

Tikhonov Regularization

Point Processes

Top Venues

SIAM J. Math. Data Sci.

BNAIC/BENELEARN (Selected Papers)

BNAIC/BENELEARN

Publications

Konstantinos Theodorakos, Oscar Mauricio Agudelo, Joachim Schreurs, Johan A. K. Suykens, Bart De Moor
Island Transpeciation: A Co-Evolutionary Neural Architecture Search, Applied to Country-Scale Air-Quality Forecasting. IEEE Trans. Evol. Comput. 27 (4) (2023)
Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
Nyström landmark sampling and regularized Christoffel functions. Mach. Learn. 111 (6) (2022)
Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
Determinantal Point Processes Implicitly Regularize Semiparametric Regression Problems. SIAM J. Math. Data Sci. 4 (3) (2022)
Arun Pandey, Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
Disentangled Representation Learning and Generation With Manifold Optimization. Neural Comput. 34 (10) (2022)
Joachim Schreurs, Iwein Vranckx, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw
Outlier detection in non-elliptical data by kernel MRCD. Stat. Comput. 31 (5) (2021)
Hannes De Meulemeester, Joachim Schreurs, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens
The Bures Metric for Generative Adversarial Networks. ECML/PKDD (2) (2021)
Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
Diversity Sampling is an Implicit Regularization for Kernel Methods. SIAM J. Math. Data Sci. 3 (1) (2021)
Joachim Schreurs, Michaël Fanuel, Johan A. K. Suykens
Towards Deterministic Diverse Subset Sampling. CoRR (2021)
Joachim Schreurs, Hannes De Meulemeester, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens
Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks. CoRR (2021)
Joachim Schreurs, Hannes De Meulemeester, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens
Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks. LOD (2021)
David Winant, Joachim Schreurs, Johan A. K. Suykens
Latent Space Exploration Using Generative Kernel PCA. CoRR (2021)
Arun Pandey, Joachim Schreurs, Johan A. K. Suykens
Generative Restricted Kernel Machines: A framework for multi-view generation and disentangled feature learning. Neural Networks 135 (2021)
Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems. CoRR (2020)
Joachim Schreurs, Michaël Fanuel, Johan A. K. Suykens
Ensemble Kernel Methods, Implicit Regularization and Determinental Point Processes. CoRR (2020)
Hannes De Meulemeester, Joachim Schreurs, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens
The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks. CoRR (2020)
Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
Diversity sampling is an implicit regularization for kernel methods. CoRR (2020)
Joachim Schreurs, Iwein Vranckx, Bart De Ketelaere, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw
Outlier detection in non-elliptical data by kernel MRCD. CoRR (2020)
Arun Pandey, Joachim Schreurs, Johan A. K. Suykens
Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality. CoRR (2020)
Arun Pandey, Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
Disentangled Representation Learning and Generation with Manifold Optimization. CoRR (2020)
Arun Pandey, Joachim Schreurs, Johan A. K. Suykens
Robust Generative Restricted Kernel Machines Using Weighted Conjugate Feature Duality. LOD (1) (2020)
David Winant, Joachim Schreurs, Johan A. K. Suykens
Latent Space Exploration Using Generative Kernel PCA. BNAIC/BENELEARN (Selected Papers) (2019)
David Winant, Joachim Schreurs, Johan A. K. Suykens
Latent Space Exploration Using Generative Kernel PCA. BNAIC/BENELEARN (2019)
Joachim Schreurs, Michaël Fanuel, Johan A. K. Suykens
Towards Deterministic Diverse Subset Sampling. BNAIC/BENELEARN (Selected Papers) (2019)
Joachim Schreurs, Michaël Fanuel, Johan A. K. Suykens
Towards Deterministic Diverse Subset Sampling. BNAIC/BENELEARN (2019)
Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
Nyström landmark sampling and regularized Christoffel functions. CoRR (2019)
Arun Pandey, Joachim Schreurs, Johan A. K. Suykens
Generative Restricted Kernel Machines. CoRR (2019)
Joachim Schreurs, Johan A. K. Suykens
Generative Kernel PCA. ESANN (2018)