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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.

169,051 papers · 148 categories

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2 results for “simulation-guided”
Accelerating Posterior Inference from Pulsar Light Curves via Learned Latent Representations and Local Simulator-Guided Optimizationstat.ML

Accelerates pulsar light curve inference with learned representations and optimization.

problem Computational expense of Markov chain Monte Carlo methods for posterior inference.
method Combining U-Net latent representations with local simulator-guided optimization.
result 120x reduction in inference time (24 hours to 12 minutes) with accuracy preserved.
pulsar light curvesposterior inferenceMarkov chain Monte CarloU-Netsimulator-guided optimization
2026-02-16abs ↗pdf ↗