Marc Lafon

PhD Student in Deep Learning at Cnam Paris - AI/ML Consultant


Office 37.0E.36

2 rue Conté

Paris, France

I am a PhD student in Deep Learning at Le Cnam in the Machine Learning team advised by Prof. Nicolas Thome and Clément Rambour. The focus of my PhD is on the efficient adaptation of deep learning foundation models with a particular interest in improving their robustness. Lately, I have focused on improving the trade-off between accuracy and robustness for few-shot learning methods, e.g. prompt learning, of vision-language foundation models like CLIP.


Jan 15, 2016 A simple inline announcement with Markdown emoji! :sparkles: :smile:
Oct 22, 2015 A simple inline announcement.

selected publications

  1. ICML
    Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
    Marc Lafon, Ramzi Elias, Rambour Clément, and 1 more author
    Proceedings of the 40 th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023, 2023
  2. ICML
    Beyond First-Order Uncertainty Estimation with Evidential Models for Open-World Recognition
    Charles Corbière, Marc Lafon, Nicolas Thome, and 2 more authors
    ICML Workshop on Uncertainty and Robustness in Deep Learning, 2021