Joachim Schreurs

27 papers B 1Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2023 J jnl
Island Transpeciation: A Co-Evolutionary Neural Architecture Search, Applied to Country-Scale Air-Quality Forecasting.
IEEE Trans. Evol. Comput.
Konstantinos Theodorakos, Oscar Mauricio Agudelo, Joachim Schreurs, Johan A. K. Suykens, Bart De Moor
2022 J jnl
Determinantal Point Processes Implicitly Regularize Semiparametric Regression Problems.
SIAM J. Math. Data Sci.
Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
2022 J jnl
Disentangled Representation Learning and Generation With Manifold Optimization.
Neural Comput.
Arun Pandey, Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
2022 J jnl
Nyström landmark sampling and regularized Christoffel functions.
Mach. Learn.
Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
2021 J jnl
Diversity Sampling is an Implicit Regularization for Kernel Methods.
SIAM J. Math. Data Sci.
Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
2021 J jnl
Generative Restricted Kernel Machines: A framework for multi-view generation and disentangled feature learning.
Neural Networks
Arun Pandey, Joachim Schreurs, Johan A. K. Suykens
2021 J jnl
Latent Space Exploration Using Generative Kernel PCA.
CoRR
David Winant, Joachim Schreurs, Johan A. K. Suykens
2021 — conf
Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks.
LOD
Joachim Schreurs, Hannes De Meulemeester, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens
2021 J jnl
Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks.
CoRR
Joachim Schreurs, Hannes De Meulemeester, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens
2021 J jnl
Outlier detection in non-elliptical data by kernel MRCD.
Stat. Comput.
Joachim Schreurs, Iwein Vranckx, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw
2021 — conf
The Bures Metric for Generative Adversarial Networks.
ECML/PKDD (2)
Hannes De Meulemeester, Joachim Schreurs, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens
2021 J jnl
Towards Deterministic Diverse Subset Sampling.
CoRR
Joachim Schreurs, Michaël Fanuel, Johan A. K. Suykens
2020 J jnl
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems.
CoRR
Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
2020 J jnl
Disentangled Representation Learning and Generation with Manifold Optimization.
CoRR
Arun Pandey, Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
2020 J jnl
Diversity sampling is an implicit regularization for kernel methods.
CoRR
Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
2020 J jnl
Ensemble Kernel Methods, Implicit Regularization and Determinental Point Processes.
CoRR
Joachim Schreurs, Michaël Fanuel, Johan A. K. Suykens
2020 J jnl
Outlier detection in non-elliptical data by kernel MRCD.
CoRR
Joachim Schreurs, Iwein Vranckx, Bart De Ketelaere, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw
2020 — conf
Robust Generative Restricted Kernel Machines Using Weighted Conjugate Feature Duality.
LOD (1)
Arun Pandey, Joachim Schreurs, Johan A. K. Suykens
2020 J jnl
Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality.
CoRR
Arun Pandey, Joachim Schreurs, Johan A. K. Suykens
2020 J jnl
The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks.
CoRR
Hannes De Meulemeester, Joachim Schreurs, Michaël Fanuel, Bart De Moor, Johan A. K. Suykens
2019 J jnl
Generative Restricted Kernel Machines.
CoRR
Arun Pandey, Joachim Schreurs, Johan A. K. Suykens
2019 — conf
Latent Space Exploration Using Generative Kernel PCA.
BNAIC/BENELEARN
David Winant, Joachim Schreurs, Johan A. K. Suykens
2019 — conf
Latent Space Exploration Using Generative Kernel PCA.
BNAIC/BENELEARN (Selected Papers)
David Winant, Joachim Schreurs, Johan A. K. Suykens
2019 J jnl
Nyström landmark sampling and regularized Christoffel functions.
CoRR
Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
2019 — conf
Towards Deterministic Diverse Subset Sampling.
BNAIC/BENELEARN
Joachim Schreurs, Michaël Fanuel, Johan A. K. Suykens
2019 — conf
Towards Deterministic Diverse Subset Sampling.
BNAIC/BENELEARN (Selected Papers)
Joachim Schreurs, Michaël Fanuel, Johan A. K. Suykens
2018 B conf
Generative Kernel PCA.
ESANN
Joachim Schreurs, Johan A. K. Suykens