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Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference


Nov 07, 2022
Bingjie Wang, Joel Leja, Ashley Villar, Joshua S. Speagle

* 8 pages, 2 figures, accepted to the Machine Learning and the Physical Sciences workshop at NeurIPS 2022 

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Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes


Jun 18, 2021
Ji Won Park, Ashley Villar, Yin Li, Yan-Fei Jiang, Shirley Ho, Joshua Yao-Yu Lin, Philip J. Marshall, Aaron Roodman

* 6 pages, 4 figures, 1 table, written for non-astronomers, submitted to the ICML 2021 Time Series and Uncertainty and Robustness in Deep Learning Workshops. Comments welcome! Added affiliations and references for Fig 1 

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