Author

Xuening Wu

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Preprint Sep 2026

When Information Is Not Enough: Accuracy-Constrained Thermodynamic Costs of Binary Classification

How much entropy must a physical classifier produce to achieve a prescribed accuracy? Rate--distortion theory specifies the minimum information required, but does that information threshold suffice to determine the physical cost? We show that it does not, even for a binary task and a two-state memory. For a uniform bin...

Xue-Ning Wu · 0 citations

#machine learning Preprint Oct 2026

Auditable Algebraic Counting Field for Cryptic-Pocket Detection from Apo Structures

Cryptic ligand-binding pockets are not apparent in experimentally determined apo structures, making them difficult to identify from unbound receptor geometry. A complementary challenge is to make the structural measurements and learned evidence behind each prediction directly inspectable. We introduce a supervised alge...

Shan Yu, Xue-Ning Wu · 0 citations

#machine learning Preprint Sep 2026

IncentRL: The Trade-Off Between Preference Guidance and Task Performance

Preference-based reward shaping can guide reinforcement learning, but adding preference signals to the reward may unintentionally change the task being optimized. We address this problem with IncentRL, a framework that introduces preference guidance while explicitly characterizing its effect on external-task performanc...

Xue-Ning Wu, Yan-Lan Kang, Shen Yin · 0 citations

Jul 2026

Closed-Loop Knowledge Dynamics: An Operational Framework for Saturation and Escape

This analysis explains why conditional mutual information alone cannot certify escape and measures variation among intervention-conditioned updates rather than departure from the no-intervention law.

Xuening Wu, Shan Yu, Shen Yin · arXiv.org · 0 citations