Stanford CS25: Transformers United V6 I From Representation Learning to World Modeling
For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-educationApril 9, 2026
This seminar covers:
• How world models are increasingly moving away from reconstruction and toward prediction in latent space
• Two recent JEPA-based approaches that illustrate this shift from complementary angles
Follow along with the seminar schedule. Visit: https://web.stanford.edu/class/cs25/
Guest Speakers: Hazel Nam & Lucas Maes (Brown University)
Instructors:
• Steven Feng, Stanford Computer Science PhD student and NSERC PGS-D scholar
• Karan P. Singh, Electrical Engineering PhD student and NSF Graduate Research Fellow in the Stanford Translational AI Lab
• Michael C. Frank, Benjamin Scott Crocker Professor of Human Biology Director, Symbolic Systems Program
• Christopher Manning, Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science, Co-Founder and Senior Fellow of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) Receive SMS online on sms24.me
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