Francesco Tonin

34 papers A* 9B 1Journal 22Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
MaD-Mix: Multi-Modal Data Mixtures via Latent Space Coupling for Vision-Language Model Training.
CoRR
Wanyun Xie, Francesco Tonin, Volkan Cevher
2025 A* conf
Accelerating Spectral Clustering under Fairness Constraints.
ICML
Francesco Tonin, Alex Lambert, Johan A. K. Suykens, Volkan Cevher
2025 J jnl
Accelerating Spectral Clustering under Fairness Constraints.
CoRR
Francesco Tonin, Alex Lambert, Johan A. K. Suykens, Volkan Cevher
2025 A* conf
Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning.
ICML
Wanyun Xie, Francesco Tonin, Volkan Cevher
2025 J jnl
Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning.
CoRR
Wanyun Xie, Francesco Tonin, Volkan Cevher
2025 J jnl
Efficient Large Language Model Inference with Neural Block Linearization.
CoRR
Mete Erdogan, Francesco Tonin, Volkan Cevher
2025 — conf
HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity.
ICANN (5)
Sonny Achten, Zander Op de Beeck, Francesco Tonin, Volkan Cevher, Johan A. K. Suykens
2025 J jnl
Linear Attention for Efficient Bidirectional Sequence Modeling.
CoRR
Arshia Afzal, Elías Abad-Rocamora, Leyla Naz Candogan, Pol Puigdemont, Francesco Tonin, Yongtao Wu, Mahsa Shoaran, Volkan Cevher
2025 A* conf
Quantum-PEFT: Ultra parameter-efficient fine-tuning.
ICLR
Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Frank Zhengqing Wu, Leyla Naz Candogan, Volkan Cevher
2025 J jnl
Quantum-PEFT: Ultra parameter-efficient fine-tuning.
CoRR
Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Frank Zhengqing Wu, Leyla Naz Candogan, Volkan Cevher
2024 J jnl
Deep Kernel Principal Component Analysis for multi-level feature learning.
Neural Networks
Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens
2024 J jnl
HeNCler: Node Clustering in Heterophilous Graphs through Learned Asymmetric Similarity.
CoRR
Sonny Achten, Francesco Tonin, Volkan Cevher, Johan A. K. Suykens
2024 A* conf
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method.
ICML
Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan A. K. Suykens
2024 J jnl
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method.
CoRR
Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan A. K. Suykens
2024 A* conf
Membership Inference Attacks against Large Vision-Language Models.
NeurIPS
Zhan Li, Yongtao Wu, Yihang Chen, Francesco Tonin, Elías Abad-Rocamora, Volkan Cevher
2024 J jnl
Membership Inference Attacks against Large Vision-Language Models.
CoRR
Zhan Li, Yongtao Wu, Yihang Chen, Francesco Tonin, Elías Abad-Rocamora, Volkan Cevher
2024 A* conf
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes.
ICML
Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens
2024 J jnl
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes.
CoRR
Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens
2024 J jnl
Tensor-based multi-view spectral clustering via shared latent space.
Inf. Fusion
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2024 A* conf
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification.
AAAI
Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2023 — conf
Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers.
PKDD/ECML Workshops (4)
Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2023 J jnl
Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers.
CoRR
Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2023 J jnl
Deep Kernel Principal Component Analysis for Multi-level Feature Learning.
CoRR
Francesco Tonin, Qinghua Tao, Panagiotis Patrinos, Johan A. K. Suykens
2023 A* conf
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms.
ICML
Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens
2023 J jnl
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms.
CoRR
Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens
2023 J jnl
Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method.
CoRR
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2023 A* conf
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation.
NeurIPS
Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens
2023 J jnl
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation.
CoRR
Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens
2023 J jnl
Semi-Supervised Classification with Graph Convolutional Kernel Machines.
CoRR
Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2022 J jnl
Tensor-based Multi-view Spectral Clustering via Shared Latent Space.
CoRR
Qinghua Tao, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2021 B conf
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine.
IJCNN
Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens
2021 J jnl
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine.
CoRR
Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens
2021 J jnl
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints.
Neural Networks
Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
2020 J jnl
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints.
CoRR
Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens