| 2025 | ICANN | HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity. | Sonny Achten, Zander Op de Beeck, Francesco Tonin, Volkan Cevher, Johan A. K. Suykens |
| 2025 | ICLR | Quantum-PEFT: Ultra parameter-efficient fine-tuning. | Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Frank Zhengqing Wu, Leyla Naz Candogan, Volkan Cevher |
| 2025 | ICML | Accelerating Spectral Clustering under Fairness Constraints. | Francesco Tonin, Alex Lambert, Johan A. K. Suykens, Volkan Cevher |
| 2025 | ICML | Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning. | Wanyun Xie, Francesco Tonin, Volkan Cevher |
| 2024 | AAAI | Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification. | Sonny Achten, Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens |
| 2024 | ICML | Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes. | Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan A. K. Suykens |
| 2024 | ICML | Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nystrm method. | Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan A. K. Suykens |
| 2023 | ICML | Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms. | Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens |
| 2021 | IJCNN | Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. | Francesco Tonin, Arun Pandey, Panagiotis Patrinos, Johan A. K. Suykens |