Learning to Predict the Cosmological Structure Formation. - Siyu He; Yin Li 009; Yu Feng; Shirley Ho; Siamak Ravanbakhsh; Wei Chen; Barnabás Póczos (CoRR, 2018)

Fast and Accurate Non-Linear Predictions of Universes with Deep Learning. - Renan Alves de Oliveira; Yin Li 009; Francisco Villaescusa-Navarro; Shirley Ho; David N. Spergel (CoRR, 2020)

Learning the Evolution of the Universe in N-body Simulations. - Chang Chen; Yin Li 009; Francisco Villaescusa-Navarro; Shirley Ho; Anthony Pullen (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)

Multifield Cosmology with Artificial Intelligence. - Francisco Villaescusa-Navarro; Daniel Anglés-Alcázar; Shy Genel; David N. Spergel; Yin Li 009; Benjamin D. Wandelt; Andrina Nicola; Leander Thiele; Sultan Hassan; José Manuel Zorrilla Matilla; Desika Narayanan; Romeel Dave; et al. (CoRR, 2021)

Robust marginalization of baryonic effects for cosmological inference at the field level. - Francisco Villaescusa-Navarro; Shy Genel; Daniel Angles-Alcazar; David N. Spergel; Yin Li 009; Benjamin D. Wandelt; Leander Thiele; Andrina Nicola; José Manuel Zorrilla Matilla; Helen Shao; Sultan Hassan; Desika Narayanan; et al. (CoRR, 2021)

The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence. - Francisco Villaescusa-Navarro; Shy Genel; Daniel Angles-Alcazar; Leander Thiele; Romeel Dave; Desika Narayanan; Andrina Nicola; Yin Li 009; Pablo Villanueva-Domingo; Benjamin D. Wandelt; David N. Spergel; Rachel S. Somerville; et al. (CoRR, 2021)

Super-resolving Dark Matter Halos using Generative Deep Learning. - David Schaurecker; Yin Li 009; Jeremy Tinker; Shirley Ho; Alexandre Refregier (CoRR, 2021)

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)

Simple lessons from complex learning: what a neural network model learns about cosmic structure formation. - Drew Jamieson; Yin Li 009; Siyu He; Francisco Villaescusa-Navarro; Shirley Ho; Renan Alves de Oliveira; David N. Spergel (CoRR, 2022)

Field Level Neural Network Emulator for Cosmological N-body Simulations. - Drew Jamieson; Yin Li 009; Renan Alves de Oliveira; Francisco Villaescusa-Navarro; Shirley Ho; David N. Spergel (CoRR, 2022)

Particle clustering in turbulence: Prediction of spatial and statistical properties with deep learning. - Yan-Mong Chan; Natascha Manger; Yin Li 009; Chao-Chin Yang; Zhaohuan Zhu; Philip J. Armitage; Shirley Ho (CoRR, 2022)