Simo Alami

I am a Ph.D. candidate in LIX at Ecole Polytechnique where I am advised by Prof. Jesse Read. Prior to that, I studied Mathematics and Computer Science at Université Pierre et Marie Curie and Ecole CentraleSupélec.

My research interests include Deep learning, Metric Learning and Reinforcement Leaning. More specifically, I am interested in studying algorithms that learn from experience using self learned metrics.

My main area of study is Inverse Reinforcement Learning as a tool to teach robots logical concepts they could leverage to perform several tasks even when they never encountered them before.

News

[02/22] Our paper on Zero-Shot Clustering through Metric Transfer Learning  has got accepted to IDA 2023.

[09/22] We presented our work realized during my stay in Accenta on Non-Invasive Load Monitoring at ECML 2022 in Grenoble, France.

[08/22] I presented our work on Curiosity augmented Metropolis-Hastings method for Optimal Policies Distributions at EUSIPCO 2022 in Belgrade, Serbia. Slides are available here.

[04/22] I have got awarded with a grant from Nvidia to support my research on Meta-Inverse Reinforcement Learning.

[02/22] I began my gap semester as a visiting researcher at Accenta.

[03/21] I had the honour to organize the Electromobilité et territoires webinar at IRT SystemX

[02/21] I won the 3rd Prize of Hi Paris Hackathon on Smart Grid Energy management using a RL Solution

[12/19] I presented and published My Master thesis on Deep Learning Methods for 6 DoF Pose Estimation. The correponding report can be found here.

[04/19] I've been honoured to join Inria's Magrit team for a 6 months internship

Teaching

Advanced Machine Learning and Autonomous Agents: Computer Science, Ingénieur 3A/Master1, Ecole Polytechnique. Winter 21, 22, 23. In charge of tutorials, lectures taught by Pr.Jesse Read