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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.

169,341 papers · 148 categories

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2 results for “Celeste”

Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inferencecs.DC

Celeste learns astronomical catalogs from large datasets.

problem Inferring astronomical catalogs from large-scale datasets.

method Scalable Bayesian inference with Julia, parallel optimization.

result Learned catalogs from modern large-scale astronomical datasets.

astronomy Bayesian inference scalability Julia parallel computing

2016-11-10abs ↗pdf ↗

Celeste: Variational inference for a generative model of astronomical imagesastro-ph.IM

Celeste models and infers astronomical images using variational inference.

problem Generating and inferring accurate images of celestial bodies from telescope data.

method A generative model with Poisson-distributed pixel intensities and latent properties modeled as random variables.

result Celeste outperforms existing methods in locating celestial bodies and measuring their colors.

Celeste Variational inference Astronomical images Celestial bodies Color measurement

2015-06-03abs ↗pdf ↗