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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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Pinball Loss Minimization for One-bit Compressive Sensing: Convex Models and Algorithms

Mar 19, 2018
Xiaolin Huang, Lei Shi, Ming Yan, Johan A. K. Suykens

* 11 pages 

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Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions

Nov 21, 2017
Michaƫl Fanuel, Antoine Aspeel, Jean-Charles Delvenne, Johan A. K. Suykens

* 33 pages, 16 figures 

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