Our new paper articulates four key principles for physical interpretability of world models. We paint a broader picture on neuro-symbolic world models, beyond our recent preprint on a specific technique for physically interpretable world models for trajectory prediction.
Update: accepted and presented at NeuS 2025! It also got publicized at ICRA.
Citation:
- Jordan Peper*, Zhenjiang Mao*, Yuang Geng, Siyuan Pan, Ivan Ruchkin.
Four Principles for Physically Interpretable World Models [Arxiv] [OpenReview] [Github] [Poster] [Slides].
In Proceedings of the 2nd International Conference on Neuro-symbolic Systems (NeuS), Philadelphia, PA, 2025. * Co-first authors.
