Thomas Fel

Thomas Fel

Thomas Fel is a Doctoral student at Artificial and Natural Intelligence Toulouse Institute (ANITI) in France and Brown University, USA, working on Explainable AI. He is also a part of the “Dependable, Certifiable & Explainable AI for Criticial Systems” (DEEL) core team, working to make AI systems certifiable. In September 2024, he will join the Kempner Institute at Harvard as research fellow. Thomas Fel researches large vision models, particularly their explainability and how they align with human vision. Motivated to uncover the secrets behind the exceptional ability of vision models to generalize, he blends computational techniques with insights from neuroscience to better grasp the inner workings of these models. This interdisciplinary approach not only aims to enrich the understanding of artificial intelligence but also positions this knowledge as a tool for probing into human intelligence.

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  • Organization
    Brown University
  • Profession
    Doctoral Researcher
Related sessions
31 May 2024
10:00 - 16:30 CET Geneva
Wojciech Samek (Technical University Berlin), Gitta Kutyniok (Ludwig-Maximilians Universität München), Fosca Giannotti (Scuola Normale Superiore Di Pisa)...

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