Author

Mingxing Rao

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Preprint Sep 2026

CausalWM: Causal Chain-of-Thought Reasoning for Embodied World Model

Embodied world models learn to predict future physical dynamics from visual observations and control signals, where physical knowledge is implicitly entangled within latent representations. We introduce CausalWM, a 16B embodied world model that performs explicit causal chain-of-thought reasoning before future video pre...

Zi-Ming Xu, Shuang Liang, R. Han et al. · 1 citation

Preprint Sep 2026

Differentiable Mesh State Estimation via Factor Graph Inference for Deformable Object Reconstruction

Estimating deformable object states remains a fundamental challenge in robotics and simulation. We propose a novel factor graph-based framework for probabilistic mesh state estimation of deformable objects. The method directly updates a tetrahedral mesh, a rich and physically-grounded representation of an environment,...

Lidia Al-Zogbi, Fang-Jie Li, Samuel Tobin et al. · 0 citations

#machine learning Mar 2026

Generalization and Memorization in Rectified Flow

This paper systematically investigate the memorization behaviors of RF through the test statistics of Membership Inference Attacks (MIA), culminating in a complexity-calibrated metric that successfully decouples intrinsic image spatial complexity from genuine memorization signals.

Mingxing Rao, Daniel Moyer · arXiv.org · 0 citations