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-education April 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)