Author

Zhuo Huang

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#machine learning Preprint Sep 2026

I Act Therefore I Am: When Is JEPA's Action-Conditioning Enough to Learn Causal Mechanisms?

This work investigates when and how JEPAs can recover the underlying causal states from observations, and establishes identifiability conditions under which representations learned by this general objective recover the underlying latent causal states up to component-wise invertible transformations and permutation.

Yu-Hang Liu, Zhuo Huang, J. Shi · 0 citations

#artificial intelligence Preprint Sep 2026

Evaluation Is All You Need for Multi-Modal Autonomous Driving

Multi-modal planning is promising for autonomous driving by representing multiple plausible behaviors in ambiguous and long-tail scenarios. Existing methods mainly focus on improving trajectory multi-modality, enhancing trajectory representations, or reshaping the candidate distribution. Nevertheless, we identify a pro...

Ze-Yu He, Shi-Qi Liu, Ke Chen et al. · 0 citations