The MBZUAI Machine Learning Winter School: Representation Learning & GenAI is an intensive 5-day program that brings together world-leading researchers to explore the cutting-edge developments in modern machine learning and generative artificial intelligence. This comprehensive program combines keynote presentations, technical lectures, and hands-on practical sessions, offering participants direct access to the latest research and methodologies from pioneers who are shaping the future of AI.
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!
β οΈ Important: Please review all requirements carefully before submitting your application. Incomplete applications may not be considered.
β° Application Deadline: October 20th, 2025, 23:49 Anywhere On Earth
π Timeline: You'll hear back from us by November.
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
Florence Forbes
Director of Research, INRIA Grenoble Rhone-Alpes
Arthur Gretton
Professor, University College London
Salman Khan
Associate Professor, MBZUAI
Alexander Korotin
Assistant Professor, Skoltech
Ivan Laptev
Professor, INRIA - MBZUAI
Yingzhen Li
Associate Professor, Imperial College London
Eric Moulines
Professor, Γcole Polytechnique - MBZUAI
Yuandong Tian
Research Scientist Director, Meta GenAI
Eric Xing
Professor, Carnegie Mellon University - MBZUAI
Kun Zhang
Professor, Carnegie Mellon University - MBZUAI
More lecturers to be announced soon
Stay tuned for additional speakers
The winter school features a comprehensive 5-day program combining theoretical foundations with practical applications. The schedule includes:
Participants will gain direct access to the latest research methodologies and have opportunities to engage with pioneers who are shaping the future of AI. A detailed program will be available closer to the winter school date.
Salem Lahlou
Maxim Panov
Eric Moulines
Kun Zhang