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Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks


Apr 06, 2021
Joachim Schreurs, Hannes De Meulemeester, Michaƫl Fanuel, Bart De Moor, Johan A. K. Suykens


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Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine


Feb 16, 2021
Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens


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Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints


Nov 25, 2020
Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens


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Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems


Nov 13, 2020
Michaƫl Fanuel, Joachim Schreurs, Johan A. K. Suykens

* 19 pages 

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Towards a Unified Quadrature Framework for Large-Scale Kernel Machines


Nov 03, 2020
Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens

* 27 pages, 9 figures 

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Kernel regression in high dimension: Refined analysis beyond double descent


Oct 06, 2020
Fanghui Liu, Zhenyu Liao, Johan A. K. Suykens

* 30 pages, 13 figures 

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Outlier detection in non-elliptical data by kernel MRCD


Aug 05, 2020
Joachim Schreurs, Iwein Vranckx, Bart De Ketelaere, Mia Hubert, Johan A. K. Suykens, Peter J. Rousseeuw


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Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes


Jul 07, 2020
Joachim Schreurs, Michaƫl Fanuel, Johan A. K. Suykens


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Ensemble Kernel Methods, Implicit Regularization and Determinental Point Processes


Jun 27, 2020
Joachim Schreurs, Michaƫl Fanuel, Johan A. K. Suykens


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A Theoretical Framework for Target Propagation


Jun 25, 2020
Alexander Meulemans, Francesco S. Carzaniga, Johan A. K. Suykens, JoĆ£o Sacramento, Benjamin F. Grewe

* 12 pages and 4 figures in main manuscript; 38 pages and 6 figures in supplementary material 

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The Bures Metric for Taming Mode Collapse in Generative Adversarial Networks


Jun 16, 2020
Hannes De Meulemeester, Joachim Schreurs, Michaƫl Fanuel, Bart De Moor, Johan A. K. Suykens


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Disentangled Representation Learning and Generation with Manifold Optimization


Jun 12, 2020
Arun Pandey, Michael Fanuel, Joachim Schreurs, Johan A. K. Suykens


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Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces


Jun 01, 2020
Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens


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Generalizing Random Fourier Features via Generalized Measures


May 30, 2020
Fanghui Liu, Xiaolin Huang, Yingyi Chen, Johan A. K. Suykens


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Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond


Apr 24, 2020
Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens

* The current version is not ready for public avaliable 

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Diversity sampling is an implicit regularization for kernel methods


Feb 20, 2020
Michaƫl Fanuel, Joachim Schreurs, Johan A. K. Suykens

* 27 pages 

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Wasserstein Exponential Kernels


Feb 05, 2020
Henri De Plaen, Michaƫl Fanuel, Johan A. K. Suykens

* 9 pages, 3 figures and 1 table 

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Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality


Feb 04, 2020
Arun Pandey, Joachim Schreurs, Johan A. K. Suykens


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Random Fourier Features via Fast Surrogate Leverage Weighted Sampling


Nov 20, 2019
Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens

* accepted by AAAI-20 

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Generative Restricted Kernel Machines


Jun 25, 2019
Arun Pandey, Joachim Schreurs, Johan A. K. Suykens

* 10 pages, 5 figures 

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Nystrƶm landmark sampling and regularized Christoffel functions


May 31, 2019
Michaƫl Fanuel, Joachim Schreurs, Johan A. K. Suykens

* 18 pages 

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Efficient hinging hyperplanes neural network and its application in nonlinear system identification


May 15, 2019
Jun Xu, Qinghua Tao, Zhen Li, Xiangming Xi, Johan A. K. Suykens, Shuning Wang

* submitted to Automatica 

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Two-stage Best-scored Random Forest for Large-scale Regression


May 09, 2019
Hanyuan Hang, Yingyi Chen, Johan A. K. Suykens


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Spatio-temporal Stacked LSTM for Temperature Prediction in Weather Forecasting


Nov 15, 2018
Zahra Karevan, Johan A. K. Suykens


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Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions


Sep 26, 2018
Fanghui Liu, Lei Shi, Xiaolin Huang, Jie Yang, Johan A. K. Suykens

* 20 pages, 2 figures 

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Robust Classification of Graph-Based Data


Apr 27, 2018
Carlos M. Alaƭz, Michaƫl Fanuel, Johan A. K. Suykens


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Modified Frank-Wolfe Algorithm for Enhanced Sparsity in Support Vector Machine Classifiers


Apr 13, 2018
Carlos M. AlaĆ­z, Johan A. K. Suykens


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