Metis Spring School 2025

About

The design of advanced Machine Learning algorithms is a highly challenging research topic of a paramount importance. The METIS school this year aims at presenting a general overview of the some of the major current Trends in Machine Learning. The program includes a tutorial proving some basics and fundamental notions, as well as a series of 15 talks on specific topics illustrating the research issues addressed nowadays in Machine Learning. The tutorial and the talks are given by experts in the area, presenting works that have been published in top notch conferences and journals.

Organizers

• • Ahmed Bouajjani

• • Mohammed Erradi

• • Rachid Guerraoui
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  SPEAKERS

TUTORIAL

Salem LAHLOU — MBZUAI Abu Dhabi, UAE
Title: Reinforcement Learning Through a Probabilistic Lens

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SPECIFIC TOPIC PRESENTATIONS

El Mehdi ACHOUR — Aachen University, Germany
Title: Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks

Youssef ALLOUAH — EPFL, Switzerland
Title: Trustworthy Machine Learning: Trade-offs and Algorithms

Achraf AZIZE — ENSAE Paris, France
Title: Auditing Differential Privacy Using Membership Inference Attacks

Lamiae AZIZI — UM6P College of Computing, Morocco
Title: Quantifying neural network uncertainty under volatility clustering

Ziyad BENOMAR — ENSAE, Paris, France
Title: Learning-augmented algorithms

El Houcine BERGOU — UM6P College of Computing, Morocco
Title: On Derivative-Free Optimization for Machine Learning

Ismail BERRADA — UM6P College of Computing, Morocco
Title: TBA

El Amine CHERRAT — Quantum Signals, Paris, France
Title:  Advances in Quantum Machine Learning

Sofiane ENNADIR — KTH Stockholm, Sweden
Title: From Bounds to Defenses: A Comprehensive Look at GNN Robustness

Hamza KEURTI — ETH Zurich, Switzerland
Title: Considerations of Structure in Machine Learning

Mohamed MALHOU — META & Sorbonne Université, Paris, France
Title: AI for the Cryptanalysis of Post-Quantum Algorithms

Alexandre MAURER — UM6P College of Computing, Morocco
Title : Robust Machine Learning

Omar SAADI — UM6P College of Computing, Morocco
Title: Policy Optimization Methods for Reinforcement Learning

Adnane SAOUD — UM6P College of Computing, Morocco
Title: What AI can do for control and what control can do for AI

Afaf TAIK — University of Sherbrooke, Canada
Title: Fair Federated Learning: Are We Asking the Right Questions?