Author

Rui-Quan Huang

2 papers indexed here

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#artificial intelligence May 2026

Discrete MeanFlow: One-Step Generation via Conditional Transition Kernels

Discrete MeanFlow is introduced, a theoretical finite-state formulation that replaces point motion with probability-mass transport and validate the identity on exact finite-state Markov chains, demonstrating that the learned kernel recovers the analytical ground truth with high precision.

Fairoz Nower Khan, Nabuat Zaman Nahim, Md Sajid Ahmed et al. · arXiv.org · 2 citations

#machine learning Preprint Sep 2026

Temporal Gradient Inversion for Private Trajectory Reconstruction in Embodied Reinforcement Learning

TRACE is introduced, an amortized temporal gradient-inversion attack that autoregressively reconstructs the sequence of private observation-action trajectories from per-step policy-learning gradients, dominating the learning-based baseline across all reconstruction metrics and exceeding optimization attacks while runni...

Sudip Bhujel, Shang-Hao Shi, Rui-Quan Huang et al. · 0 citations