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20172026
most citedLarge Degree Asymptotics and the Reconstruction Threshold of the Asymmetric Binary Channels

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cs.LG2026

Newton-Schulz Retraction-Based Inference Enables Hidden Quantum Markov Models to Outperform Classical HMMs

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Hidden Markov models (HMMs) are widely used probabilistic models for discrete sequential data but can be limited when hidden dynamics are complex. Hidden quantum Markov models (HQM…