About the Winter School

The MBZUAI Machine Learning Winter School: Representation Learning & GenAI is an intensive 5-day program bringing together world-leading researchers and students to explore recent developments in machine learning and generative AI. The program combines lectures and hands-on practical sessions, offering participants direct access to current research methods and techniques in the field.

The winter school focuses on the revolutionary advances in deep learning that have enabled powerful generative capabilities across multiple domains. From large language models to diffusion models for images and videos, these breakthrough techniques are transforming how we approach AI research and applications.

Target Audience

This winter school is designed for:

Prerequisites

πŸ“ Application Status πŸ“

Thank you for your interest in the MBZUAI ML Winter School 2026!

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If you haven't heard from us, please contact the organizers using the contact email below.

Confirmed speakers and lecturers

The school brings together world-leading researchers and practitioners from academia and industry to share cutting-edge insights in representation learning and generative AI.

Michael Bronstein DeepMind Professor of AI, Oxford - Scientific Director, AITHYRA
Ahmed Elhag Ahmed Elhag PhD student, University of Oxford
Florence Forbes Director of Research, INRIA Grenoble Rhone-Alpes
Arthur Gretton Arthur Gretton Professor, University College London
Salman Khan Salman Khan Associate Professor, MBZUAI
Alexander Korotin Alexander Korotin Associate Professor, Skoltech - Senior Research Scientist, AIRI
Haiyan Huang Haiyan Huang Professor, University of California, Berkeley - MBZUAI
Ivan Laptev Ivan Laptev Professor, INRIA - MBZUAI
Yingzhen Li Yingzhen Li Associate Professor, Imperial College London
Eric Moulines Eric Moulines Professor, Γ‰cole Polytechnique - MBZUAI
Maxim Panov Maxim Panov Assistant Professor, MBZUAI
Kun Zhang Kun Zhang Professor, Carnegie Mellon University - MBZUAI

School Program

The winter school features a comprehensive 5-day program combining theoretical foundations with practical applications.

Time Speaker Title
Monday, February 9
09:30 - 11:00 - Registration & Welcome / Intro & Icebreaker event
11:00 - 11:30 Break
11:30 - 13:00 Maxim Panov Uncertainty quantification for generative language models
13:00 - 14:30 Lunch Break
14:30 - 16:00 Alex Korotin Flow Matching and Rectified Flows
16:00 - 16:30 Break
16:30 - 18:00 Kun Zhang Causal representation learning and causal generative AI (1/2)
Tuesday, February 10
09:00 - 10:30 Alex Korotin Diffusion Bridge Generative Models for Domain Translation Problems
10:30 - 11:00 Break
11:00 - 12:30 Florence Forbes Scalable Bayesian Experimental Design with Diffusions
12:30 - 14:30 Lunch Break
14:30 - 16:00 Eric Moulines Bayesian Inverse Problems with diffusion priors (1/2)
16:00 - 16:30 Break
16:30 - 18:00 Salman Khan Advances in Video Understanding with Multimodal Large Language Models
Wednesday, February 11
09:00 - 10:30 Kun Zhang Causal representation learning and causal generative AI (2/2)
10:30 - 11:00 Break
11:00 - 12:30 Yingzhen Li Uncertainty Quantification in Deep Learning - A Bayesian Approach
12:30 - 14:30 Lunch Break
14:30 - 16:00 Ivan Laptev Generative Models: From Vision and Language to Embodied AI
Thursday, February 12
09:00 - 10:30 Eric Moulines Bayesian Inverse Problems with diffusion priors (2/2)
10:30 - 11:00 Break
11:00 - 12:30 Haiyan Huang From Data to Scientific Discovery: Applied Statistics, Machine Learning, and AI in Practice
12:30 - 14:30 Lunch Break
14:30 - 16:00 Arthur Gretton Causal Effect Estimation (1/2)
16:00 - 16:30 Break
16:30 - 18:00 Arthur Gretton Causal Effect Estimation (2/2)
Friday, February 13
09:00 - 11:00 Michael Bronstein Geometric DL and equivariance, graph neural networks, and learning in weight-spaces
11:00 - 11:30 Break
11:30 - 13:00 Ahmed Elhag Tutorial on Graph Neural Networks and Geometric Graphs

Organizing Committee

Salem Lahlou Salem Lahlou
Maxim Panov Maxim Panov
Eric Moulines Eric Moulines
Kun Zhang Kun Zhang
Nicolas Mauricio Cuadrado Avila Nicolas Mauricio Cuadrado Avila Student Volunteer
Klea Ziu Klea Ziu Student Volunteer
Dzianis Piatrashyn Dzianis Piatrashyn Student Volunteer

Contact Information

For questions about the school, please contact:

Winter School Organizers