معرفی
Marc Lelarge is a Researcher at INRIA and a part-time Professor in the Department of Computer Science at École Normale Supérieure. He received his PhD in Applied Mathematics from École Polytechnique in 2005, following engineering qualifications from École Nationale Supérieure des Télécommunications and undergraduate studies at École Polytechnique.
His research focuses on generative AI for coding and interactive theorem proving, deep learning for graphs and structured data, machine learning, and programming languages. Recent publications emphasize graph neural networks, theorem proving, optimization algorithms, and statistical learning theory.
He has received multiple awards including the NetGCoop Best Paper Award (2011), SIGMETRICS Rising Star Award (2012), and Best Publication in Applied Probability Award (2015). He developed the 'Deep Learning: Do It Yourself' course and maintains active educational resources on GitHub.
Current affiliations include collaborations with NVIDIA (hardware donations) and Google (cloud computing grants). He advises PhD students including E. Coupechoux and maintains research teams focused on deep learning implementations.
