cs.IT · 2026-08-19 · No. 89
Information Theory, 2026-08-19.
2 new papers in cs.IT. Titles, authors,
abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →
01 — The papers
2 entries-
01
Learnware for CSI Feedback: Scene-specific Small Models Can Do Big
Xiangyi Li, Jiajia Guo, Chao-Kai Wen, Xin Geng, Shi Jin, Zhi-Hua Zhou
cs.IT · cs.AI · eess.SP
Intelligent channel state information (CSI) feedback is essential for realizing the high capacity and spectral efficiency goals of future 6G systems, yet existing deep learning solutions face a trade-off between model generalization and scenario-specific performance. Large neural networks generalize well but incur high computational and tuning costs, while small models excel in particular environments but require repetitive costly end-to-end...
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02
Expected free energy as an information constraint on the Bethe Lagrangian
Wouter M. Kouw
cs.IT · cs.AI · eess.SY · stat.ML
Active inference selects actions by minimising an expected free energy functional over predicted futures. However, adding an expectation over yet-unobserved outcomes means the free energy functional no longer has a Kullback-Leibler structure, which hinders message passing treatments of inference procedures. We propose an alternative formulation based on a Bethe free energy functional, fully supporting inference by message passing. The...
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