SH
Shirley Ho
astro-ph.COastro-ph.IMcs.LGastro-ph.GAcs.AIstat.MLgr-qcastro-phphysics.comp-phastro-ph.EP
On Valency
published · living versionsW_bfjnfvbu·v1 · currentpublished
The SDSS-III Baryon Oscillation Spectroscopic Survey: Quasar Target Selection for Data Release Nine
with Nicholas P. Ross, Adam D. Myers, Erin S. Sheldon, Christophe Yèche +34
1 version
W_8ctawbxj·v1published
W_xhxevuuw·v1published
W_vqyzxp6y·v1published
W_w4gfrpzf·v1published
W_sk3hven4·v1published
Preprints & journals
210 papers in the corpus · 2003–2026Homogeneous Stellar Parameters from Heterogeneous Spectra with Deep Learning2604.25786v1 · Jeff Shen, Joshua S. Speagle, Shirley Ho2026 · 0 citationsarXiv
MIMIC: A Generative Multimodal Foundation Model for Biomolecules2604.24506v1 · Siavash Golkar, Jake Kovalic, Irina Espejo Morales et al.2026 · 1 citationarXiv
Bayesian Separation Logic2507.15530v2 · Shing Hin Ho, Nicolas Wu, Azalea Raad2025 · 0 citationsarXiv
Optimizing Language Models for Grammatical Acceptability: A Comparative Study of Fine-Tuning Techniques2501.07853v1 · Shobhit Ratan, Farley Knight, Ghada Jerfel et al.2025 · 0 citationsarXiv
ASURA-FDPS-ML: Star-by-star Galaxy Simulations Accelerated by Surrogate Modeling for Supernova Feedback2410.23346v2 · Keiya Hirashima, Kana Moriwaki, Michiko S. Fujii et al.2024 · 2 citationsarXiv
Accelerating Giant Impact Simulations with Machine Learning2408.08873v2 · Caleb Lammers, Miles Cranmer, Sam Hadden et al.2024 · 2 citationsarXiv
Field-level Emulation of Cosmic Structure Formation with Cosmology and Redshift Dependence2408.07699v1 · Drew Jamieson, Yin Li, Francisco Villaescusa-Navarro et al.2024 · 12 citationsarXiv
Contextual Counting: A Mechanistic Study of Transformers on a Quantitative Task2406.02585v1 · Siavash Golkar, Alberto Bietti, Mariel Pettee et al.2024 · 0 citationsarXiv
{\sc SimBIG}: Cosmological Constraints using Simulation-Based Inference of Galaxy Clustering with Marked Power Spectra2404.04228v1 · Elena Massara, ChangHoon Hahn, Michael Eickenberg et al.2024 · 4 citationsarXiv
: Cosmological Constraints from the Redshift-Space Galaxy Skew Spectra2401.15074v1 · Jiamin Hou, Azadeh Moradinezhad Dizgah, ChangHoon Hahn et al.2024 · 1 citationarXiv
Leaving No Branches Behind: Predicting Baryonic Properties of Galaxies from Merger Trees2311.09162v1 · Chen-Yu Chuang, Christian Kragh Jespersen, Yen-Ting Lin et al.2023 · 20 citationsarXiv
Surrogate Modeling for Computationally Expensive Simulations of Supernovae in High-Resolution Galaxy Simulations2311.08460v1 · Keiya Hirashima, Kana Moriwaki, Michiko S. Fujii et al.2023 · 2 citationsarXiv
: The First Cosmological Constraints from the Non-Linear Galaxy Bispectrum2310.15243v1 · ChangHoon Hahn, Michael Eickenberg, Shirley Ho et al.2023 · 0 citationsarXiv
: The First Cosmological Constraints from Non-Gaussian and Non-Linear Galaxy Clustering2310.15246v1 · ChangHoon Hahn, Pablo Lemos, Liam Parker et al.2023 · 4 citationsarXiv
Galaxy Clustering Analysis with SimBIG and the Wavelet Scattering Transform2310.15250v2 · Bruno R'egaldo-Saint Blancard, ChangHoon Hahn, Shirley Ho et al.2023 · 35 citationsarXiv
SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering2310.15256v1 · Pablo Lemos, Liam Parker, ChangHoon Hahn et al.2023 · 1 citationarXiv
A forward modeling approach to analyzing galaxy clustering with SimBIG.37819978 · Hahn, ChangHoon, Eickenberg, Michael, Ho, Shirley et al.2023 · 32 citationsProceedings of the National Academy of Sciences of the United States of America. 2023;120(42):e2218810120
xVal: A Continuous Numerical Tokenization for Scientific Language Models2310.02989v2 · Siavash Golkar, Mariel Pettee, Michael Eickenberg et al.2023 · 8 citationsarXiv
Multiple Physics Pretraining for Physical Surrogate Models2310.02994v2 · Michael McCabe, Bruno R'egaldo-Saint Blancard, Liam Holden Parker et al.2023 · 17 citationsarXiv
AstroCLIP: A Cross-Modal Foundation Model for Galaxies2310.03024v2 · Liam Parker, Francois Lanusse, Siavash Golkar et al.2023 · 70 citationsarXiv
Reusability report: Prostate cancer stratification with diverse biologically-informed neural architectures2309.16645v2 · Christian Pedersen, Tiberiu Tesileanu, Tinghui Wu et al.2023 · 5 citationsarXiv
Publisher Correction: Scientific discovery in the age of artificial intelligence.37648871 · Wang, Hanchen, Fu, Tianfan, Du, Yuanqi et al.2025 · 19 citationsNature. 2023;621(7978):E33
Scientific discovery in the age of artificial intelligence.37532811 · Wang, Hanchen, Fu, Tianfan, Du, Yuanqi et al.2023 · 1,804 citationsNature. 2023;620(7972):47-60
Learnable wavelet neural networks for cosmological inference2307.14362v1 · Christian Pedersen, Michael Eickenberg, Shirley Ho2023 · 1 citationarXiv
Neutrino mass constraint from an Implicit Likelihood Analysis of BOSS voids2307.07555v1 · Leander Thiele, Elena Massara, Alice Pisani et al.2023 · 27 citationsarXiv
Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties2304.04277v3 · Joshua Fagin, Ji Won Park, Henry Best et al.2023 · 15 citationsThe Astrophysical Journal, Volume 965, Number 2, April 2024
Posterior Sampling of the Initial Conditions of the Universe from Non-linear Large Scale Structures using Score-Based Generative Models2304.03788v1 · Ronan Legin, Matthew Ho, Pablo Lemos et al.2023 · 25 citationsarXiv
Predicting the Initial Conditions of the Universe using a Deterministic Neural Network2303.13056v2 · Vaibhav Jindal, Albert Liang, Aarti Singh et al.2023 · 3 citationsarXiv
Augmenting astrophysical scaling relations with machine learning: Application to reducing the Sunyaev-Zeldovich flux-mass scatter.36930602 · Wadekar, Digvijay, Thiele, Leander, Villaescusa-Navarro, Francisco et al.2023 · 31 citationsProceedings of the National Academy of Sciences of the United States of America. 2023;120(12):e2202074120
Learning Integrable Dynamics with Action-Angle Networks2211.15338v1 · Ameya Daigavane, Arthur Kosmala, Miles Cranmer et al.2022 · 1 citationarXiv
Recovering Galaxy Cluster Convergence from Lensed CMB with Generative Adversarial Networks2211.08990v1 · Liam Parker, Dongwon Han, Pablo Lemos Portela et al.2022 · 1 citationarXiv
Emulating cosmological growth functions with B-Splines2211.06564v1 · Ngai Pok Kwan, Chirag Modi, Yin Li et al.2022 · 1 citationarXiv
Simple lessons from complex learning: what a neural network model learns about cosmic structure formation.37091548 · Jamieson, Drew, Li, Yin, He, Siyu et al.2023 · 8 citationsPNAS nexus. 2023;2(4):pgac250
A Neural Network Subgrid Model of the Early Stages of Planet Formation2211.04160v1 · Thomas Pfeil, Miles Cranmer, Shirley Ho et al.2022 · 1 citationarXiv
: Mock Challenge for a Forward Modeling Approach to Galaxy Clustering2211.00660v1 · ChangHoon Hahn, Michael Eickenberg, Shirley Ho et al.2022 · 32 citationsarXiv
: A Forward Modeling Approach To Analyzing Galaxy Clustering2211.00723v1 · ChangHoon Hahn, Michael Eickenberg, Shirley Ho et al.2022 · 5 citationsarXiv
: Learning Galaxy Properties from Merger Trees2210.13473v1 · Christian Kragh Jespersen, Miles Cranmer, Peter Melchior et al.2022 · 43 citationsarXiv
Particle clustering in turbulence: Prediction of spatial and statistical properties with deep learning2210.02339v2 · Yan-Mong Chan, Natascha Manger, Yin Li et al.2022 · 6 citationsApJ 960 19 (2024)
The SZ flux-mass (-) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback2209.02075v2 · Digvijay Wadekar, Leander Thiele, J. Colin Hill et al.2022 · 31 citationsMNRAS, 522, 2628 (2023)
Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks2207.08435v3 · Pablo Lemos, Miles Cranmer, Muntazir Abidi et al.2022 · 29 citationsMach. Learn.: Sci. Technol. 4 01LT01 (2023)
TNT: Vision Transformer for Turbulence Simulations2207.04616v1 · Yuchen Dang, Zheyuan Hu, Miles Cranmer et al.2022 · 6 citationsarXiv
Field Level Neural Network Emulator for Cosmological N-body Simulations2206.04594v2 · Drew Jamieson, Yin Li, Renan Alves de Oliveira et al.2022 · 53 citationsarXiv
Cosmological Information in the Marked Power Spectrum of the Galaxy Field2206.01709v1 · Elena Massara, Francisco Villaescusa-Navarro, ChangHoon Hahn et al.2022 · 46 citationsarXiv
Charting Galactic Accelerations with Stellar Streams and Machine Learning2205.11767v3 · Jacob Nibauer, Vasily Belokurov, Miles Cranmer et al.2022 · 15 citationsAstrophysical Journal, Volume 940, Issue 22, 24 pp. (2022)
An exploration of the properties of cluster profiles for the thermal and kinetic Sunyaev-Zel'dovich effects2205.01710v1 · Billy K. K. Lee, William R. Coulton, Leander Thiele et al.2022 · 9 citationsarXiv
Wavelet Moments for Cosmological Parameter Estimation2204.07646v1 · Michael Eickenberg, Erwan Allys, Azadeh Moradinezhad Dizgah et al.2022 · 23 citationsarXiv
Predicting the Thermal Sunyaev-Zel'dovich Field using Modular and Equivariant Set-Based Neural Networks2203.00026v2 · Leander Thiele, Miles Cranmer, William Coulton et al.2022 · 6 citationsarXiv
Rediscovering orbital mechanics with machine learning2202.02306v1 · Pablo Lemos, Niall Jeffrey, Miles Cranmer et al.2022 · 90 citationsarXiv
Learned Coarse Models for Efficient Turbulence Simulation2112.15275v3 · Kimberly Stachenfeld, Drummond B. Fielding, Dmitrii Kochkov et al.2021 · 26 citations(2022) International Conference on Learning Representations
Testing the robustness of simulation-based gravitational-wave population inference2112.06707v2 · Damon H. T. Cheung, Kaze W. K. Wong, Otto A. Hannuksela et al.2021 · 8 citationsarXiv
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