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.
Research Interests
I'm globally interested in Machine Learning and Deep Learning. My research has mainly focused on developing generative kernel-based models that can learn from limited or no labeled data, at the same time making Machine Learning models safer and more interpretable. Currently I'm also interested in the mathematical foundations of Transformers, especially relating to efficient learning.
Specifically, I have focused my attention on:
Dualization in kernel methods and infinite-dimensional feature maps
Energy-based kernel methods for clustering and out-of-distribution detection
Generative Deep Kernel PCA through manifold learning with orthogonality constraints
My list of publications is available here.