Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing. - Sebastian Wagner-Carena; Ji Won Park; Simon Birrer; Philip J. Marshall; Aaron Roodman; Risa H. Wechsler (CoRR, 2020)

Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant. - Ji Won Park; Sebastian Wagner-Carena; Simon Birrer; Philip J. Marshall; Joshua Yao-Yu Lin; Aaron Roodman (CoRR, 2020)

Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes. - Ji Won Park; V. Ashley Villar; Yin Li 009; Yan-Fei Jiang; Shirley Ho; Joshua Yao-Yu Lin; Philip J. Marshall; Aaron Roodman (CoRR, 2021)

Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks. - Ji Won Park; Simon Birrer; Madison Ueland; Miles D. Cranmer; Adriano Agnello; Sebastian Wagner-Carena; Philip J. Marshall; Aaron Roodman (CoRR, 2022)