Smoothing Exponents and Decoupling in Semifinite von Neumann Algebras
arXiv 2607.07997•86434fc9a7dc94a5f409f11dbfed070e0f6dbbe4441a905134d2d824c1df4964
6GPOMDPPPOUAVZak-OTFSbeam-selectiondecouplingdeep-reinforcement-learningdiffusion-modelsdomain-generalizationgraph-neural-networks (GNNs) - deep-learning-acceleration (trim:human-activity-recognitioninterference-mitigationlocalizationmax-relative-entropymultiuserpilot-designquantum-informationradio-mapsrotatable-antennasensor-networksspread-pilotsthrough-the-wall-radartransformervon-neumann-algebras
Paper metadata
- arXiv ID
- 2607.07997
- Version
- Not specified by this published record
- Category
- Mathematics — Information Theory (math.IT)
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- Source ID
- arxiv_math_it
- Record identifier
- 86434fc9a7dc94a5f409f11dbfed070e0f6dbbe4441a905134d2d824c1df4964
- Enrichment time
- 2026-07-10T08:51:43Z
- AI-assisted enrichment
- Yes
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