Francesco Tonin

Research Interests:

  • Generative models
  • Deep Learning
  • Unsupervised learning
  • Duality
  • Transformers

 

Biography

Francesco Tonin is currently a post-doctoral researcher with the Laboratory for Information and Inference Systems at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He obtained his master’s degree in Computer Science from KU Leuven, Belgium in 2019. Sequentially, he pursued a PhD degree at KU Leuven under the supervision of Prof. Johan Suykens and Prof. Panos Patrinos.

HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity

S. Achten; Z. Op de Beeck; F. Tonin; V. Cevher; J. A. Suykens 

2026. 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, 2025-09-09 – 2025-09-12. p. 55 – 68. DOI : 10.1007/978-3-032-04552-2_8.

Detailed record

View at publisher

CHAMELEON: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning

W. Xie; F. Tonin; V. Cevher 

2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 – 2025-07-19.

Detailed record

Accelerating Spectral Clustering under Fairness Constraints

F. Tonin; A. Lambert; J. Suykens; V. Cevher 

2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 – 2025-07-19.

Detailed record

Quantum-Peft: Ultra Parameter-Efficient Fine-Tuning

T. Koike-Akino; F. Tonin; Y. Wu; F. Z. Wu; L. Candogan et al. 

2025. The Thirteenth International Conference on Learning Representations, Singapore, 2025-04-24-2025-04-28.

Detailed record

Membership Inference Attacks against Large Vision-Language Models

Zhan Li; Y. Wu; Y. Chen; F. Tonin; E. Abad Rocamora et al. 

2024. 38th Annual Conference on Neural Information Processing Systems, Vancouver Convention Center, 2024-12-10 – 2024-12-15.

Detailed record

Contact

e-mail address: Francesco Tonin

EPFL people page

Personal website

Access map