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Philip J. Marshall

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Informal and Other Publications

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2022
[i4]
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  - journals/corr/abs-2211-07807
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  - https://dblp.org/rec/journals/corr/abs-2211-07807
Ji Won Park, Simon Birrer, Madison Ueland, Miles D. Cranmer, Adriano Agnello, Sebastian Wagner-Carena, Philip J. Marshall, Aaron Roodman:
Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks. CoRR abs/2211.07807 (2022)
2021
[i3]
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  - journals/corr/abs-2106-01450
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Ji Won Park, V. Ashley Villar, Yin Li, Yan-Fei Jiang, Shirley Ho, Joshua Yao-Yu Lin, Philip J. Marshall, Aaron Roodman:
Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes. CoRR abs/2106.01450 (2021)
2020
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  - journals/corr/abs-2010-13787
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Sebastian Wagner-Carena, Ji Won Park, Simon Birrer, Philip J. Marshall, Aaron Roodman, Risa H. Wechsler:
Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing. CoRR abs/2010.13787 (2020)
[i1]
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  - journals/corr/abs-2012-00042
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Ji Won Park, Sebastian Wagner-Carena, Simon Birrer, Philip J. Marshall, Joshua Yao-Yu Lin, Aaron Roodman:
Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant. CoRR abs/2012.00042 (2020)

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