Generative Kernel PCA. - Joachim Schreurs; Johan A. K. Suykens (ESANN, 2018)

Towards Deterministic Diverse Subset Sampling. - Joachim Schreurs; Michaël Fanuel; Johan A. K. Suykens (BNAIC/BENELEARN (Selected Papers), 2019)

Latent Space Exploration Using Generative Kernel PCA. - David Winant; Joachim Schreurs; Johan A. K. Suykens (BNAIC/BENELEARN (Selected Papers), 2019)

Generative Restricted Kernel Machines. - Arun Pandey; Joachim Schreurs; Johan A. K. Suykens (CoRR, 2019)

Robust Generative Restricted Kernel Machines Using Weighted Conjugate Feature Duality. - Arun Pandey; Joachim Schreurs; Johan A. K. Suykens (LOD (1), 2020)

The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks. - Hannes De Meulemeester; Joachim Schreurs; Michaël Fanuel; Bart De Moor; Johan A. K. Suykens (CoRR, 2020)

Ensemble Kernel Methods, Implicit Regularization and Determinental Point Processes. - Joachim Schreurs; Michaël Fanuel; Johan A. K. Suykens (CoRR, 2020)

Outlier detection in non-elliptical data by kernel MRCD. - Joachim Schreurs; Iwein Vranckx; Bart De Ketelaere; Mia Hubert; Johan A. K. Suykens; Peter J. Rousseeuw (CoRR, 2020)

Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems. - Michaël Fanuel; Joachim Schreurs; Johan A. K. Suykens (CoRR, 2020)

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 (LOD, 2021)

The Bures Metric for Generative Adversarial Networks. - Hannes De Meulemeester; Joachim Schreurs; Michaël Fanuel; Bart De Moor; Johan A. K. Suykens (ECML/PKDD (2), 2021)

Generative Restricted Kernel Machines: A framework for multi-view generation and disentangled feature learning. - Arun Pandey; Joachim Schreurs; Johan A. K. Suykens (Neural Networks, 2021)

Outlier detection in non-elliptical data by kernel MRCD. - Joachim Schreurs; Iwein Vranckx; Mia Hubert; Johan A. K. Suykens; Peter J. Rousseeuw (Stat. Comput., 2021)

Diversity Sampling is an Implicit Regularization for Kernel Methods. - Michaël Fanuel; Joachim Schreurs; Johan A. K. Suykens (SIAM J. Math. Data Sci., 2021)

Nyström landmark sampling and regularized Christoffel functions. - Michaël Fanuel; Joachim Schreurs; Johan A. K. Suykens (Mach. Learn., 2022)

Disentangled Representation Learning and Generation With Manifold Optimization. - Arun Pandey; Michaël Fanuel; Joachim Schreurs; Johan A. K. Suykens (Neural Comput., 2022)

Determinantal Point Processes Implicitly Regularize Semiparametric Regression Problems. - Michaël Fanuel; Joachim Schreurs; Johan A. K. Suykens (SIAM J. Math. Data Sci., 2022)

Island Transpeciation: A Co-Evolutionary Neural Architecture Search, Applied to Country-Scale Air-Quality Forecasting. - Konstantinos Theodorakos; Oscar Mauricio Agudelo; Joachim Schreurs; Johan A. K. Suykens; Bart De Moor (IEEE Trans. Evol. Comput., 2023)