Sofian Chaybouti
I'm a PhD student at Tubingen AI Center, advised by Prof. Hilde Kuehne. I'm also participating in MIT-IBM Watson Sight and Sound Project.
Prior to this, I finished my Master of Engineering in Applied Mathematics at ENSTA Paris in France and my MVA Master (Mathematics, Vision and Learning) at ENS Paris-Saclay.
Before starting my PhD, I worked for 3 years in industry research teams: at Credit Agricole's Datalab in Montrouge, France, where I mostly focused on NLP and research engines, and at Huawei's Noah's Ark Lab in Paris, working on optimization and Reinforcement Learning.
Research Papers
My current research focuses on multimodal models, especially Video Understanding, Video-Language modeling, Efficient video representation and efficient Multimodal models.
Meta-learning of black-box solvers using deep reinforcement learning
NeurIPS 2022, MetaLearn Workshop
