Francesco Tonin
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Francesco Tonin EPFL |
About me
I'm currently a postdoctoral researcher at École Polytechnique Fédérale de Lausanne (EPFL) hosted by Prof. Volkan Cevher.
I obtained a PhD in Machine Learning under the supervision of Prof. Johan Suykens and Prof. Panos Patrinos.
Before that, I obtained my MSc in Computer Science from KU Leuven in 2019 and my BSc in Computer Engineering from Politecnico di Torino in 2017.
More information about my background can be found on my CV.
Latest News
[Jun 2026] Two review papers are accepted on deep learning architectures (link) and kernel SVD (link).
[May 2026] Recognized as Top Reviewer at ICML 2026.
[Mar 2026] MaD-Mix is accepted as Oral presentaion at DATA-FM @ ICLR 2026.
[Feb 2026] Gave a seminar on data mixing in LLMs at ESAT-STADIUS, KU Leuven.
[Jan 2026] Awarded a 50k GPU-hour (GH200) compute grant from Swiss AI to investigate online data pipelines in LLMs.
[Dec 2025] Recognized as Top Reviewer at NeurIPS 2025.
Research Interests
I am broadly interested in Artificial Intelligence. My research has focused on developing mathematically grounded generative algorithms that can learn efficiently from limited or no labeled data while remaining scalable, interpretable, and safe.
Specifically, my research focuses on:
Optimization and duality for machine learning, with applications to kernel methods, representation learning, and large-scale learning systems
Generative and unsupervised learning, including clustering, anomaly detection, and manifold learning
Efficient foundation models, including data selection, parameter-efficient finetuning, and foundations of LLMs
My list of publications is available here.