Scholar
Abdelhakim Benechehab
Google Scholar ID: JxgqOKwAAAAJ
Ph.D. Student - Huawei Noah's Ark Lab & EURECOM
Citations & Impact
Citations
61
H-index
3
i10-index
2
Publications
12
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- - October 2025: Preprint and code: “From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation”
- - September 2025: 1 workshop paper @ NeurIPS 2025: In-Context Meta-Learning with Large Language Models for Automated Model and Hyperparameter Selection
- - July 2025: Attending ICML in Vancouver, Canada to present AdaPTS
- - June 2025: Invited Webinar organized by MoroccoAI on Adapting Foundation Models
- - May 2025: Presented DICL @ a FinRL seminar, exploring applications in Finance
Research Experience
- Current PhD student at Huawei Noah’s Ark Lab and EURECOM, working on developing models suitable for long-horizon planning and aware of their errors through uncertainty estimation, as well as applications of foundation models in reinforcement learning, dynamics modeling, and time series forecasting.
Education
- - PhD: Huawei Noah’s Ark Lab and EURECOM, Supervisors: Giuseppe Paolo and Maurizio Filippone
- - Master's Degree: ENS Paris-Saclay, Mathematics, Vision, and Machine Learning (MVA) program, 2021
- - Engineering Degree: École des Mines de Saint-Étienne, Mathematics and Computer Science
Background
- Research Interests: Reinforcement Learning, Foundation Models, Improving Dynamics Models, Uncertainty Estimation. Brief Introduction: Conducting PhD research at Huawei Noah’s Ark Lab and EURECOM, focusing on improving dynamics models in the context of model-based reinforcement learning.
Miscellany
- Personal Interests: Sports (primarily volleyball and bouldering), traveling (visited over 30 countries), and learning new things (currently Italian). Former member of Moroccan NGO Math&Maroc, promoting science and mathematics in his native country, organized and mentored at the ThinkAI Hackathon, and used to host a bi-weekly podcast discussing the latest AI news in Moroccan dialect.
