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Researcher
Johan Suykens
- Disciplines:Modelling, Applied mathematics in specific fields, Computer architecture and networks, Information sciences, Information systems, Programming languages, Scientific computing, Theoretical computer science, Visual computing, Other information and computing sciences, Control systems, robotics and automation, Design theories and methods, Mechatronics and robotics, Biological system engineering, Computer theory, Signal processing
Affiliations
- Dynamical Systems, Signal Processing and Data Analytics (STADIUS) (Division)
Member
From1 Aug 2020 → Today - ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics (Division)
Member
From1 Jan 2008 → 31 Jul 2020 - Faculty of Engineering Science (Faculty)
Member
From1 Oct 2000 → 30 Sep 2003 - Department of Electrical Engineering (ESAT) (Department)
Member
From1 Oct 1999 → 31 Dec 2007
Projects
1 - 10 of 42
- Kernel CCA approaches to Deep LearningFrom1 Nov 2025 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Novel Transformer Models: Duality and InterpretabilityFrom7 Oct 2025 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Synergies between Deep Learning and Restricted Kernel MachinesFrom2 Sep 2025 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Rethinking Transformers Through Duality PrinciplesFrom1 Oct 2024 → TodayFunding: BOF - projects
- Shedding Light on the Optimization of Machine Learning Models: A Novel Paradigm Based on Generalized Convexity.From1 Oct 2024 → TodayFunding: FWO fellowships
- Disentanglement in Deep Kernel MachinesFrom14 Aug 2024 → 15 May 2025Funding: Own budget, for example: patrimony, inscription fees, gifts
- Designing full data science pipelines for clinical decision support systems (CDS)From9 Oct 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Tensor models in kernel machines and deep learningFrom1 Oct 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Tensor Tools for Taming the CurseFrom1 Jan 2023 → TodayFunding: BOF - iBOF
- Duality model-based approaches to clusteringFrom27 Sep 2021 → 27 Sep 2025Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
41 - 50 of 435
- Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks(2021)Pages: 466 - 480
- Outlier detection in non-elliptical data by kernel MRCD.(2021)Published in: Statistics and ComputingISSN: 0960-3174Issue: 5Volume: abs/2008.0
- Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond.(2021)Published in: IEEE Transactions on Pattern Analysis and Machine IntelligenceISSN: 0162-8828Issue: 10Volume: 44
- Boosting Co-teaching with Compression Regularization for Label Noise(2021)Pages: 2682 - 2686
- Learning with continuous piecewise linear decision trees(2021)Published in: Expert Systems with ApplicationsISSN: 0957-4174Volume: 168
- Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures(2021)Published in: INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICSISSN: 2640-3498Volume: 130
- Kernel regression in high dimension: Refined analysis beyond double descent(2021)Number of pages: 11
- Tensor-based Restricted Kernel Machines for Multi-View Classification(2021)Published in: An International Journal on Information FusionISSN: 1566-2535Volume: 68Pages: 54 - 66
- Generative restricted Kernel machines : A framework for Multi-view Generation and disentangled feature learning(2021)Published in: Neural NetworksISSN: 0893-6080Volume: 135Pages: 177 - 191
- Analysis of Regularized Least Squares in Reproducing Kernel Krein Spaces(2021)Published in: Machine LearningISSN: 0885-6125Issue: 6Volume: 110Pages: 1145 - 1173