About the Winter School

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.

Target Audience

This winter school is designed for:

Prerequisites

Organizing Committee

Maxim Panov
Salem Lahlou
Eric Moulines

Confirmed speakers and lecturers

The school brings together a mix of researchers from diverse career stages and backgrounds to TODO.

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More speakers to be announced soon.

School Program

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.

Contact Information

For questions about the school, please contact:

Maxim Panov Salem Lahlou