NumPyro delivers a JIT-compilable iterative NUTS sampler by composing Pyro effect handlers with JAX transformations, achieving faster performance than prior implementations.
and Fonnesbeck, Christopher , title =
8 Pith papers cite this work, alongside 2,535 external citations. Polarity classification is still indexing.
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Using a re-fitted BNS-sGRB population model and AfterglowPy simulations, the paper forecasts ~5 on-axis and ~11 orphan afterglows per year for LSST, and <1.4 joint optical-GW afterglows per year in LIGO O5.
Multilevel regression and poststratification corrects socioeconomic sampling bias in CDR mobility estimates, lowering average radius of gyration by 17 percent.
Patient identity and clinical features predict brain tumor segmentation accuracy more strongly than model choice, with localized spatial biases consistent across models and no formal fairness guarantees in any.
RefineStat improves small language model performance on probabilistic program synthesis by adding semantic constraint enforcement and diagnostic-aware refinement, producing syntactically and statistically reliable code that often matches larger models.
Bayesian latent model augments negative-binomial globular cluster scaling with a Gaussian observation layer for error propagation and releases Nimble/PyMC code.
The paper reports on the Astropy v5.0 release, project updates, ecosystem connections, and challenges facing the community-oriented open-source astronomy software effort.
SciPy 1.0 documents a mature open-source library that has become the de facto standard for scientific algorithms in Python with broad adoption across research projects.
citing papers explorer
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Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro
NumPyro delivers a JIT-compilable iterative NUTS sampler by composing Pyro effect handlers with JAX transformations, achieving faster performance than prior implementations.
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Short-Duration Gamma-ray Burst and Afterglow Rates in the Rubin and Roman Era
Using a re-fitted BNS-sGRB population model and AfterglowPy simulations, the paper forecasts ~5 on-axis and ~11 orphan afterglows per year for LSST, and <1.4 joint optical-GW afterglows per year in LIGO O5.
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Correcting socioeconomic bias in mobile phone mobility estimates using multilevel regression and poststratification
Multilevel regression and poststratification corrects socioeconomic sampling bias in CDR mobility estimates, lowering average radius of gyration by 17 percent.
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Fairboard: a quantitative framework for equity assessment of healthcare models
Patient identity and clinical features predict brain tumor segmentation accuracy more strongly than model choice, with localized spatial biases consistent across models and no formal fairness guarantees in any.
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis
RefineStat improves small language model performance on probabilistic program synthesis by adding semantic constraint enforcement and diagnostic-aware refinement, producing syntactically and statistically reliable code that often matches larger models.
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Modeling Globular Cluster Counts with Bayesian Latent Models
Bayesian latent model augments negative-binomial globular cluster scaling with a Gaussian observation layer for error propagation and releases Nimble/PyMC code.
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The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package
The paper reports on the Astropy v5.0 release, project updates, ecosystem connections, and challenges facing the community-oriented open-source astronomy software effort.
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SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
SciPy 1.0 documents a mature open-source library that has become the de facto standard for scientific algorithms in Python with broad adoption across research projects.