Park, Ji Won, Wagner-Carena, Sebastian, Birrer, Simon, Marshall, Philip J., Lin, Joshua Yao-Yu, and Roodman, Aaron. Large-scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant. Retrieved from https://par.nsf.gov/biblio/10313536. The Astrophysical Journal 910.1 Web. doi:10.3847/1538-4357/abdfc4.

Park, Ji Won, Wagner-Carena, Sebastian, Birrer, Simon, Marshall, Philip J., Lin, Joshua Yao-Yu, & Roodman, Aaron. Large-scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant. The Astrophysical Journal, 910 (1). Retrieved from https://par.nsf.gov/biblio/10313536. https://doi.org/10.3847/1538-4357/abdfc4

Park, Ji Won, Wagner-Carena, Sebastian, Birrer, Simon, Marshall, Philip J., Lin, Joshua Yao-Yu, and Roodman, Aaron. "Large-scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant". The Astrophysical Journal 910 (1). Country unknown/Code not available. https://doi.org/10.3847/1538-4357/abdfc4. https://par.nsf.gov/biblio/10313536.

@article{osti_10313536,
place = {Country unknown/Code not available}, title = {Large-scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant}, url = {https://par.nsf.gov/biblio/10313536}, DOI = {10.3847/1538-4357/abdfc4}, abstractNote = {}, journal = {The Astrophysical Journal}, volume = {910}, number = {1}, author = {Park, Ji Won and Wagner-Carena, Sebastian and Birrer, Simon and Marshall, Philip J. and Lin, Joshua Yao-Yu and Roodman, Aaron}, }