Stanford researchers behind H3 on state space models and what make them special, what products can be built with long-context language models, and hints of future (unpublished) research.

More information: Aviral Chharia et al, MV-SSM: Multi-View State Space Modeling for 3D Human Pose Estimation, Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) (2025).

This course introduces the Kalman filter as a method that can solve problems related to estimating the hidden internal state of a dynamic system. It develops the background theoretical topics in state ...