Johan Suykens

Johan Suykens

Katholieke Universiteit Leuven

H-index: 91

Europe-Belgium

About Johan Suykens

Johan Suykens, With an exceptional h-index of 91 and a recent h-index of 52 (since 2020), a distinguished researcher at Katholieke Universiteit Leuven, specializes in the field of AI, Neural Networks and Deep Learning, Machine Learning, Systems and Control, Complex Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

Sparsity via Sparse Group -max Regularization

Nonlinear functional regression by functional deep neural network with kernel embedding

Primal-attention: Self-attention through asymmetric kernel svd in primal representation

Explaining the model and feature dependencies by decomposition of the Shapley value

Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes

A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints

Deep Kernel Principal Component Analysis for multi-level feature learning

Tensor-based multi-view spectral clustering via shared latent space

Johan Suykens Information

University

Position

Professor

Citations(all)

53488

Citations(since 2020)

16322

Cited By

44749

hIndex(all)

91

hIndex(since 2020)

52

i10Index(all)

393

i10Index(since 2020)

224

Email

University Profile Page

Katholieke Universiteit Leuven

Google Scholar

View Google Scholar Profile

Johan Suykens Skills & Research Interests

AI

Neural Networks and Deep Learning

Machine Learning

Systems and Control

Complex Networks

Top articles of Johan Suykens

Title

Journal

Author(s)

Publication Date

Sparsity via Sparse Group -max Regularization

arXiv preprint arXiv:2402.08493

Qinghua Tao

Xiangming Xi

Jun Xu

Johan AK Suykens

2024/2/13

Nonlinear functional regression by functional deep neural network with kernel embedding

arXiv preprint arXiv:2401.02890

Zhongjie Shi

Jun Fan

Linhao Song

Ding-Xuan Zhou

Johan AK Suykens

2024/1/5

Primal-attention: Self-attention through asymmetric kernel svd in primal representation

Advances in Neural Information Processing Systems

Yingyi Chen

Qinghua Tao

Francesco Tonin

Johan Suykens

2024/2/13

Explaining the model and feature dependencies by decomposition of the Shapley value

arXiv preprint arXiv:2306.10880

Joran Michiels

Maarten De Vos

Johan Suykens

2023/6/19

Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes

arXiv preprint arXiv:2402.01476

Yingyi Chen

Qinghua Tao

Francesco Tonin

Johan AK Suykens

2024/2/2

A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints

arXiv preprint arXiv:2404.16468

Bram De Cooman

Johan Suykens

2024/4/25

Deep Kernel Principal Component Analysis for multi-level feature learning

Neural Networks

Francesco Tonin

Qinghua Tao

Panagiotis Patrinos

Johan AK Suykens

2024/2/1

Tensor-based multi-view spectral clustering via shared latent space

Information Fusion

Qinghua Tao

Francesco Tonin

Panagiotis Patrinos

Johan AK Suykens

2024/4/6

Can overfitted deep neural networks in adversarial training generalize?--An approximation viewpoint

arXiv preprint arXiv:2401.13624

Zhongjie Shi

Fanghui Liu

Yuan Cao

Johan AK Suykens

2024/1/24

Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification

Proceedings of the AAAI Conference on Artificial Intelligence

Sonny Achten

Francesco Tonin

Panagiotis Patrinos

Johan AK Suykens

2024/3/24

CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities.

IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Konstantinos Kontras

Christos Chatzichristos

Huy Phan

Johan Suykens

Maarten De Vos

2024/1/15

Jigsaw-vit: Learning jigsaw puzzles in vision transformer

Pattern Recognition Letters

Yingyi Chen

Xi Shen

Yahui Liu

Qinghua Tao

Johan AK Suykens

2023/2/1

Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers

arXiv preprint arXiv:2306.07015

Francesco Tonin

Panagiotis Patrinos

Johan AK Suykens

2023/6/12

Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs

arXiv preprint arXiv:2308.16056

Jiani Liu

Qinghua Tao

Ce Zhu

Yipeng Liu

Xiaolin Huang

...

2023/8/30

Representation Learning with Restricted Kernel Machines

Arun Pandey

2023/6/5

A Dual Formulation for Probabilistic Principal Component Analysis

arXiv preprint arXiv:2307.10078

Henri De Plaen

Johan AK Suykens

2023/7/19

arXiv: Accelerated sparse Kernel Spectral Clustering for large scale data clustering problems

Mihaly Novak

Johan Suykens

Carlos Alzate

Rocco Langone

2023/10/20

Tensorized LSSVMS For Multitask Regression

Jiani Liu

Qinghua Tao

Ce Zhu

Yipeng Liu

Johan AK Suykens

2023/6/4

Extending kernel PCA through dualization: sparsity, robustness and fast algorithms

Francesco Tonin

Alex Lambert

Panagiotis Patrinos

Johan Suykens

2023/7/3

Accelerated sparse Kernel Spectral Clustering for large scale data clustering problems

arXiv preprint arXiv:2310.13381

Mihaly Novak

Rocco Langone

Carlos Alzate

Johan Suykens

2023/10/20

See List of Professors in Johan Suykens University(Katholieke Universiteit Leuven)

Co-Authors

H-index: 119
De Moor Bart

De Moor Bart

Katholieke Universiteit Leuven

H-index: 97
Sabine Van Huffel

Sabine Van Huffel

Katholieke Universiteit Leuven

H-index: 86
Joos Vandewalle

Joos Vandewalle

Katholieke Universiteit Leuven

H-index: 76
Bart Baesens

Bart Baesens

Katholieke Universiteit Leuven

H-index: 61
Lieven De Lathauwer

Lieven De Lathauwer

Katholieke Universiteit Leuven

H-index: 56
Jan Vanthienen

Jan Vanthienen

Katholieke Universiteit Leuven

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