Structure of the Circular-Dyadic Convolution Error

2026-07-20T08:52:09Z94bf293a5868c9e37d7ee4dc5e00e809c3f10b6711894b775d5a0612dec474bf
AI-tradingBNBHadamard-transformLLMsMGDAONNXViTarXivbandits','cascading-bandits','quantum-networksconvolutionexplainabilityfinanceint8interpretabilitymachine-learningmedical-AImodel-calibrationmodel-compressionmulti-objective-optimizationnumerical-hallucinationprogram-verificationquantizationquantum-computingquantum-programmingsignal-processing

What happened

Collection of newly announced arXiv cs.LG papers (July 20, 2026) covering: theoretical analysis of error introduced by substituting Hadamard for DFT in circular/ dyadic convolution (structured, predictable substitution error); a position paper arguing quantum program generation must prioritize strict validity and verifier-centric generation over scale; an interpretable, threshold-based Bernoulli Naïve Bayes framework for clinical classification with calibration analysis; a regularity-aware stochastic MGDA (MoRe) improving stochastic multi-objective convergence; a comparative evaluation of LLMs

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_lg
Record identifier
94bf293a5868c9e37d7ee4dc5e00e809c3f10b6711894b775d5a0612dec474bf
Enrichment time
2026-07-20T08:52:09Z
AI-assisted enrichment
Yes

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