Learning neutrino effects in Cosmology with Convolutional Neural Networks. - Elena Giusarma; Mauricio Reyes Hurtado; Francisco Villaescusa-Navarro; Siyu He; Shirley Ho; ChangHoon Hahn (CoRR, 2019)

The CAMELS project: public data release. - Francisco Villaescusa-Navarro; Shy Genel; Daniel Anglés-Alcázar; Lucia A. Perez; Pablo Villanueva-Domingo; Digvijay Wadekar; Helen Shao; Faizan G. Mohammad; Sultan Hassan; Emily Moser; Erwin T. Lau; Luis Fernando Machado Poletti Valle; et al. (CoRR, 2022)

SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering. - Pablo Lemos; Liam Holden Parker; ChangHoon Hahn; Shirley Ho; Michael Eickenberg; Jiamin Hou; Elena Massara; Chirag Modi 002; Azadeh Moradinezhad Dizgah; Bruno Régaldo-Saint Blancard; David N. Spergel (CoRR, 2023)

Exposing Disparities in Flood Adaptation for Equitable Future Interventions. - Lidia Cano Pecharroman; ChangHoon Hahn (CoRR, 2023)

Robust simulation-based inference in cosmology with Bayesian neural networks. - Pablo Lemos; Miles D. Cranmer; Muntazir Abidi; ChangHoon Hahn; Michael Eickenberg; Elena Massara; David Yallup; Shirley Ho (Mach. Learn. Sci. Technol., 2023)

The optical and infrared are connected. - Christian Kragh Jespersen; Peter Melchior; David N. Spergel; Andy D. Goulding; ChangHoon Hahn; Kartheik Iyer (CoRR, 2025)