Exoformer uses a transformer network to generate informative priors that accelerate Bayesian atmospheric retrievals of hot Jupiters by 3-8 times without altering the final parameters or Bayesian evidence.
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A CNN detects 19,685 LAEs at z=2-3.5 in DESI DR1 spectra with 95% purity and completeness.
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$\texttt{Exoformer}$: Accelerating Bayesian atmospheric retrievals with transformer neural networks
Exoformer uses a transformer network to generate informative priors that accelerate Bayesian atmospheric retrievals of hot Jupiters by 3-8 times without altering the final parameters or Bayesian evidence.
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Unveiling Hidden Lyman Alpha Emitters in the DESI DR1 Data
A CNN detects 19,685 LAEs at z=2-3.5 in DESI DR1 spectra with 95% purity and completeness.