Congratulation Vlad Sobal for successfully passing your PhD Depth Qualifying Exam in Data Science. Kyunghyun Cho, Yann LeCun, and myself are proud of you! 🤓🤓🤓

Light-weight probing of unsupervised representations for Reinforcement Learning abs: arxiv.org/abs/2208.12345 github: github.com/kevinghst/ligh…

Introducing ESMAtlas, a repository of 600M+ protein structures we folded in the few weeks after ESMFold. It's an unprecedented view into the "dark matter" of the protein universe. Check it out! esmatlas.com x.com/MetaAI/status/…

🥳Excited to share: Hierarchical World Models as Visual Whole-Body Humanoid Controllers Joint work with Jyothir S V Vlad Sobal Yann LeCun Xiaolong Wang Hao Su Our method, Puppeteer, learns high-dim humanoid policies that look natural, in an entirely data-driven way! 🧵👇(1/n)

D4RL is a great benchmark, but is saturated. Introducing OGBench, a new benchmark for offline goal-conditioned RL and offline RL! Tasks include HumanoidMaze, Puzzle, Drawing, and more 🙂 Project page: seohong.me/projects/ogben… GitHub: github.com/seohongpark/og… 🧵↓

𝕏-CLR got accepted to ICLR 2025 ICLR 2026! See you in Singapore! It was also recently mentioned in The Batch by DeepLearning.AI (issue 284) Thank you again to my collaborators: Mark Ibrahim Randall Balestriero Vivien Cabannes Diane Bouchacourt Pietro Astolfi Kyunghyun Cho Yann LeCun

The last paper of my PhD is finally out ! Introducing "Intuitive physics understanding emerges from self-supervised pretraining on natural videos" We show that without any prior, V-JEPA --a self-supervised video model-- develops an understanding of intuitive physics !

We are excited to announce a workshop on Demographic Diversity in Computer Vision (DemoDiv) at #CVPR2025! Submit your work studying various axes of demographic diversity and fairness in models and datasets and join us in Nashville in June! Deadline: March 31st

CDS PhD Vlad Sobal (Vlad Sobal) and Courant PhD Wancong (Kevin) Zhang show that when good data is scarce, planning beats traditional reinforcement learning. With Kyunghyun Cho, Tim G. J. Rudner, and Yann LeCun. nyudatascience.medium.com/when-good-data…