Francesco Tonin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Kernel Principal Component Analysis

Gaussian Process

Unsupervised Learning

Top Venues

Neural Networks

Publications

Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes. CoRR (2024)
Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan A. K. Suykens
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method. CoRR (2024)
Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens
Deep Kernel Principal Component Analysis for multi-level feature learning. Neural Networks 170 (2024)
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Tensor-based multi-view spectral clustering via shared latent space. Inf. Fusion 108 (2024)
Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification. AAAI (2024)
Sonny Achten, Francesco Tonin, Volkan Cevher, Johan A. K. Suykens
HeNCler: Node Clustering in Heterophilous Graphs through Learned Asymmetric Similarity. CoRR (2024)
Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Semi-Supervised Classification with Graph Convolutional Kernel Machines. CoRR (2023)
Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation. CoRR (2023)
Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms. ICML (2023)
Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation. NeurIPS (2023)
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method. CoRR (2023)
Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms. CoRR (2023)
Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers. CoRR (2023)
Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens
Deep Kernel Principal Component Analysis for Multi-level Feature Learning. CoRR (2023)
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Tensor-based Multi-view Spectral Clustering via Shared Latent Space. CoRR (2022)
Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints. Neural Networks 142 (2021)
Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. CoRR (2021)
Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. IJCNN (2021)
Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints. CoRR (2020)