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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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1 result for “HI-SIGMA”
Data-Driven High-Dimensional Statistical Inference with Generative Modelshep-ph

HI-SIGMA improves sensitivity in high-dimensional statistical inference with data-driven background models.

problem Performing high-dimensional statistical inference with complex backgrounds in high-energy physics.
method HI-SIGMA uses generative ML models to learn signal and background distributions, incorporating systematic uncertainties.
result HI-SIGMA provides improved sensitivity compared to classifier-based methods.
HI-SIGMAdata-drivenstatistical inferencegenerative modelssystematic uncertainties
2025-06-06abs ↗pdf ↗