Calypso is a parameter-conditioned stochastic surrogate model for circumbinary accretion flows using PCA and multivariate Gaussian modeling, released as open-source software with a closed-form likelihood for parameter inference from time series.
Nature Methods , year = "2020", volume=
4 Pith papers cite this work. Polarity classification is still indexing.
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Return-conditional diffusion models for policies outperform offline RL on benchmarks by circumventing dynamic programming and enable constraint or skill composition.
A subhalo of M200 = 2.78e10 solar masses and concentration 30 is detected at 5.8 sigma in PJ011646 via ALMA imaging and grid-based NFW search after fitting an elliptical power-law plus multipole macromodel.
Simulations of high-redshift galaxies show the 1719 Å UV index reliably traces stellar metallicity while others are more sensitive to star formation history.
citing papers explorer
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\texttt{calypso}: a Parameter-Conditioned Stochastic Surrogate Model for Circumbinary Accretion Time-Series
Calypso is a parameter-conditioned stochastic surrogate model for circumbinary accretion flows using PCA and multivariate Gaussian modeling, released as open-source software with a closed-form likelihood for parameter inference from time series.
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Is Conditional Generative Modeling all you need for Decision-Making?
Return-conditional diffusion models for policies outperform offline RL on benchmarks by circumventing dynamic programming and enable constraint or skill composition.
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Detection of a dark matter subhalo in the strongly lensed system PJ011646
A subhalo of M200 = 2.78e10 solar masses and concentration 30 is detected at 5.8 sigma in PJ011646 via ALMA imaging and grid-based NFW search after fitting an elliptical power-law plus multipole macromodel.
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First Light And Reionization Epoch Simulations (FLARES) XXI: The UV Indices of Galaxies in the Early Universe
Simulations of high-redshift galaxies show the 1719 Å UV index reliably traces stellar metallicity while others are more sensitive to star formation history.