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Shirley Ho

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$\texttt{Mangrove}$: Learning Galaxy Properties from Merger Trees

Oct 24, 2022
Christian Kragh Jespersen, Miles Cranmer, Peter Melchior, Shirley Ho, Rachel S. Somerville, Austen Gabrielpillai

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Particle clustering in turbulence: Prediction of spatial and statistical properties with deep learning

Oct 05, 2022
Yan-Mong Chan, Natascha Manger, Yin Li, Chao-Chin Yang, Zhaohuan Zhu, Philip J. Armitage, Shirley Ho

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The SZ flux-mass ($Y$-$M$) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback

Sep 05, 2022
Digvijay Wadekar, Leander Thiele, J. Colin Hill, Shivam Pandey, Francisco Villaescusa-Navarro, David N. Spergel, Miles Cranmer, Daisuke Nagai, Daniel Anglés-Alcázar, Shirley Ho, Lars Hernquist

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Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks

Jul 20, 2022
Pablo Lemos, Miles Cranmer, Muntazir Abidi, ChangHoon Hahn, Michael Eickenberg, Elena Massara, David Yallup, Shirley Ho

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Simple lessons from complex learning: what a neural network model learns about cosmic structure formation

Jun 14, 2022
Drew Jamieson, Yin Li, Siyu He, Francisco Villaescusa-Navarro, Shirley Ho, Renan Alves de Oliveira, David N. Spergel

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Field Level Neural Network Emulator for Cosmological N-body Simulations

Jun 14, 2022
Drew Jamieson, Yin Li, Renan Alves de Oliveira, Francisco Villaescusa-Navarro, Shirley Ho, David N. Spergel

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Predicting the Thermal Sunyaev-Zel'dovich Field using Modular and Equivariant Set-Based Neural Networks

Feb 28, 2022
Leander Thiele, Miles Cranmer, William Coulton, Shirley Ho, David N. Spergel

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