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Francesco Tonin
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 14
Top Topics
Kernel Machines
Top Venues
CoRR
ICML
IJCNN
Neural Networks
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Publications
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Yingyi Chen
,
Qinghua Tao
,
Francesco Tonin
,
Johan A. K. Suykens
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes.
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)