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.
This winter school is designed for:
Thank you for your interest in the MBZUAI ML Winter School 2026!
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
PhD student, University of Oxford
Florence Forbes
Director of Research, INRIA Grenoble Rhone-Alpes
Arthur Gretton
Professor, University College London
Salman Khan
Associate Professor, MBZUAI
Alexander Korotin
Associate Professor, Skoltech - Senior Research Scientist, AIRI
Haiyan Huang
Professor, University of California, Berkeley - MBZUAI
Ivan Laptev
Professor, INRIA - MBZUAI
Yingzhen Li
Associate Professor, Imperial College London
Eric Moulines
Professor, Γcole Polytechnique - MBZUAI
Maxim Panov
Assistant Professor, MBZUAI
Kun Zhang
Professor, Carnegie Mellon University - MBZUAI
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) |
| 18:00 - + | Social Event | |
| 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 |
| 16:00 - + | Social Event | |
| 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) |
| 18:00 - + | Social Event | |
| 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 |
| 13:00 - + | Lunch and Checkout | |
Salem Lahlou
Maxim Panov
Eric Moulines
Kun Zhang
Nicolas Mauricio Cuadrado Avila
Student Volunteer
Klea Ziu
Student Volunteer
Dzianis Piatrashyn
Student Volunteer