Johan A. K. Suykens
- Identification of stable models in subspace identification by using regularization
2001/01/01 by Tony Van Gestel, T. Van Gestel, J.A.K. Suykens +5 · 4 citations
Engineering · #Control Systems and Identification #Structural Health Monitoring Techniques #Fault Detection and Control Systems
- Fast and Scalable Lasso via Stochastic Frank-Wolfe Methods with a\n Convergence Guarantee
2015/10/24 by Emanuele Frandi, Frandi, Emanuele, Ricardo Ñanculef +6 · 2 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
- Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation
2023/05/31 by Yingyi Chen, Chen, Yingyi, Qinghua Tao +5 · 2 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning and ELM
- Unbalanced Optimal Transport: A Unified Framework for Object Detection
2023/07/05 by Henri De Plaen, Pierre-François De Plaen, De Plaen, Henri +9 · 2 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties
2013/10/18 by Marco Signoretto, Lieven De Lathauwer, Signoretto, Marco +3 · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Speech Recognition and Synthesis #Tensor decomposition and applications
- Disentangled Representation Learning and Generation with Manifold Optimization
2020/06/12 by Arun Pandey, Michaël Fanuel, Pandey, Arun +5 · 1 citation
Computer Science · #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI)
- Boosting Co-teaching with Compression Regularization for Label Noise
2021/04/28 by Yingyi Chen, Xi Shen, Chen, Yingyi +5 · 1 citation
Computer Science · Engineering · #Machine Learning and Data Classification #Advanced Neural Network Applications #Industrial Vision Systems and Defect Detection
- Compressing Features for Learning with Noisy Labels
2022/06/27 by Yingyi Chen, Chen, Yingyi, Shell Xu Hu +7 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Spatio-temporal Stacked LSTM for Temperature Prediction in Weather Forecasting
2018/11/15 by Zahra Karevan, Johan A. K. Suykens, Karevan, Zahra +1 · 1 citation
Computer Science · Environmental Science · #Time Series Analysis and Forecasting #Music and Audio Processing #Hydrological Forecasting Using AI
- Parallelized Tensor Train Learning of Polynomial Classifiers
2016/12/20 by Zhongming Chen, Kim Batselier, Chen, Zhongming +5 · 1 citation
Mathematics · Computer Science · #Tensor decomposition and applications #Parallel Computing and Optimization Techniques #Computational Physics and Python Applications
- Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels
2023/10/08 by Fan He, He, Fan, Mingzhen He +7 · 1 citation
Computer Science · #Machine Learning and ELM #Neural Networks and Applications #Face and Expression Recognition
- Nonlinear functional regression by functional deep neural network with kernel embedding
2024/01/05 by Zhongjie Shi, Jun Fan, Shi, Zhongjie +7 · 1 citation
Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications
- Deep Kernel Principal Component Analysis for Multi-level Feature Learning
2023/02/22 by Francesco Tonin, Qinghua Tao, Tonin, Francesco +5 · 1 citation
Computer Science · #Blind Source Separation Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
- Deep Adaptive Bayesian Screening
2026/07/18 by Jade Lejeune Herman, Arno Strouwen, Johan A. K. Suykens +1
#stat.ML #cs.LG