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Shirley Ho
Mcwilliams Center for Cosmology
Dm2gal: Mapping Dark Matter to Galaxies with Neural Networks
How to Learn to Love the BOSS Baryon Oscillations Spectroscopic Survey
Deep21: a Deep Learning Method for 21Cm Foreground Removal
Recent Developments in Neutrino Cosmology for the Layperson
From Dark Matter to Galaxies with Convolutional Networks
Learning the Universe with Machine Learning: Steps to Open the Pandora Box
Constraints on Local Primordial Non-Gaussianity from Large Scale
Dark Energy Survey: First Results on Large Scale Structure
PDF (Complete Thesis)
Baryon Acoustic Oscillations in the Large Scale Structures of the Universe As Seen by the Sloan Digital Sky Survey Julian Bautista
Digging in the Large Scale Structure of the Universe
How to Learn to Love the BOSS Baryon Oscillations Spectroscopic Survey
The Dark Side and the Bright Side of the Universe
Histogram Pooling Operators: an Interpretable Alternative for Deep Sets
Calculating What's in the Universe from the Biggest Color 3-D Map 11 January 2012
Statistical Analysis of the Cosmic Microwave Background
Unsupervised Resource Allocation with Graph Neural Networks
Top View
Shirley Ho Presentation.Pdf
Constraining the Baryon-Dark Matter Relative Velocity with the Large-Scale 3-Point Correlation Function of the SDSS BOSS DR12 CMASS Galaxies
Learning the Universe with Machine Learning: Steps to Open the Pandora Box
Rediscovering Newton's Gravity and Solar System Properties Using Deep
Large Scale Structure MPA Meeting
Carnegie Mellon University MELLON COLLEGE of SCIENCE
Sloan Digital Sky Survey III Photometric Quasar Clustering:Probing the Initial Conditions of the Universe Shirley Ho
Measurement of Baryon Acoustic Oscillations in the Lyman-Alpha Forest Fluctuations in BOSS Data Release 9
Cosmology in the Machine Learning Era Francisco (Paco) Villaescusa-Navarro
Discovering Symbolic Models from Deep Learning with Inductive Biases
The Sunyaev-Zeldovich Effect As a Probe of Black Hole Feedback
What Can You Do with the CMB As a Backlight? Princeton University Shirley Ho
Southern Spectroscopic Survey Instrument: Science Case: Dark Energy, Growth, Neutrinos and More
Cosmology at CMU
C.V Digvijay (Jay) Wadekar
The Echo of Einstein's Greatest Blunder
Shirley Ho (Carnegie Mellon University)
Curriculum Vitae
Estimating Cosmological Parameters from the Dark Matter Distribution
Arxiv:2012.05472V1 [Astro-Ph.CO] 10 Dec 2020
Dr. Florian Beutler
498844 1 En Bookfrontmatter 1..31
Large Scale Structure I
Fast and Accurate Non-Linear Predictions of Universes with Deep Learning
Analysis of Cosmic Microwave Background with Deep Learning
Arxiv:Submit/3492274 [Astro-Ph.CO] 1 Dec 2020 Cosmic Voids