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ORCIDJoachim Schreurs
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Journal Articles
- 2023
[j7]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): 878-892 (2023)- 2022
- [j6]Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens:
Nyström landmark sampling and regularized Christoffel functions. Mach. Learn. 111(6): 2213-2254 (2022) - [j5]Arun Pandey, Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens:
Disentangled Representation Learning and Generation With Manifold Optimization. Neural Comput. 34(10): 2009-2036 (2022) - [j4]Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens:
Determinantal Point Processes Implicitly Regularize Semiparametric Regression Problems. SIAM J. Math. Data Sci. 4(3): 1171-1190 (2022) - 2021
- [j3]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: 177-191 (2021) - [j2]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): 66 (2021) - [j1]Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens:
Diversity Sampling is an Implicit Regularization for Kernel Methods. SIAM J. Math. Data Sci. 3(1): 280-297 (2021)
Conference and Workshop Papers
- 2021
- [c8]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: 466-480 - [c7]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: 52-66 - 2020
- [c6]Arun Pandey, Joachim Schreurs, Johan A. K. Suykens:
Robust Generative Restricted Kernel Machines Using Weighted Conjugate Feature Duality. LOD (1) 2020: 613-624 - 2019
- [c5]Joachim Schreurs, Michaël Fanuel, Johan A. K. Suykens:
Towards Deterministic Diverse Subset Sampling. BNAIC/BENELEARN 2019 - [c4]David Winant, Joachim Schreurs, Johan A. K. Suykens:
Latent Space Exploration Using Generative Kernel PCA. BNAIC/BENELEARN 2019 - [c3]David Winant, Joachim Schreurs, Johan A. K. Suykens:
Latent Space Exploration Using Generative Kernel PCA. BNAIC/BENELEARN (Selected Papers) 2019: 70-82 - [c2]Joachim Schreurs, Michaël Fanuel, Johan A. K. Suykens:
Towards Deterministic Diverse Subset Sampling. BNAIC/BENELEARN (Selected Papers) 2019: 137-151 - 2018
- [c1]Joachim Schreurs, Johan A. K. Suykens:
Generative Kernel PCA. ESANN 2018
Informal and Other Publications
- 2021
- [i12]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 abs/2104.02373 (2021) - [i11]Joachim Schreurs, Michaël Fanuel, Johan A. K. Suykens:
Towards Deterministic Diverse Subset Sampling. CoRR abs/2105.13942 (2021) - [i10]David Winant, Joachim Schreurs, Johan A. K. Suykens:
Latent Space Exploration Using Generative Kernel PCA. CoRR abs/2105.13949 (2021) - 2020
- [i9]Arun Pandey, Joachim Schreurs, Johan A. K. Suykens:
Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality. CoRR abs/2002.01180 (2020) - [i8]Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens:
Diversity sampling is an implicit regularization for kernel methods. CoRR abs/2002.08616 (2020) - [i7]Arun Pandey, Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens:
Disentangled Representation Learning and Generation with Manifold Optimization. CoRR abs/2006.07046 (2020) - [i6]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 abs/2006.09096 (2020) - [i5]Joachim Schreurs, Michaël Fanuel, Johan A. K. Suykens:
Ensemble Kernel Methods, Implicit Regularization and Determinental Point Processes. CoRR abs/2006.13701 (2020) - [i4]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 abs/2008.02046 (2020) - [i3]Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens:
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems. CoRR abs/2011.06964 (2020) - 2019
- [i2]Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens:
Nyström landmark sampling and regularized Christoffel functions. CoRR abs/1905.12346 (2019) - [i1]Arun Pandey, Joachim Schreurs, Johan A. K. Suykens:
Generative Restricted Kernel Machines. CoRR abs/1906.08144 (2019)
Coauthor Index
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