Scalable Discrete-to-Continuous Channel Simulation for Compression and Privacy
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arXiv:2609.12067v1 Announce Type: new Abstract: Channel simulation has recently emerged as a useful component in machine learning systems where samples from a prescribed probability distribution are to be compressed. Yet, general channel simulation algorithms often suffer from high computational co…
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- 2026-09-14 04:00 · arXiv cs.LG
Scalable Discrete-to-Continuous Channel Simulation for Compression and Privacy
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