HQ
H. Qu
astro-ph.COastro-ph.IMcs.LGcs.AIcs.CVastro-ph.GAastro-ph.HEastro-ph.SRcs.CLcs.MA
On Valency
published · living versionsW_594umn73·v1 · currentpublished
The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset
with DES Collaboration, T. M. C. Abbott, M. Acevedo, M. Aguena +154
1 version
W_cjgkbsx8·v1published
Preprints & journals
36 papers in the corpus · 2021–2026Absorbing State Phase Transitions in Multi-Agent Search2609.38327v2 · Wenwen Zheng, Yuzhe Yang, Helen Qu et al.2026 · 0 citationsarXiv
Deep Learning for Astrophysics: An Open Textbook from the NASA Cosmic Origins AI/ML Science and Technology Interest Group2606.30855v2 · Yuan-Sen Ting, Digvijay Wadekar, Phill Cargile et al.2026 · 0 citationsarXiv
Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence2606.01470v1 · Payel Mukhopadhyay, Stefan S. Nixon, Romain Watteaux et al.2026 · 0 citationsarXiv
MIMIC: A Generative Multimodal Foundation Model for Biomolecules2604.24506v1 · Siavash Golkar, Jake Kovalic, Irina Espejo Morales et al.2026 · 1 citationarXiv
Representation Learning for Spatiotemporal Physical Systems2603.13227v1 · Helen Qu, Rudy Morel, Michael McCabe et al.2026 · 0 citationsarXiv
Measuring the Vertical Structure of Active Galactic Nuclei Disks with Transformer Models and the Vera C. Rubin Observatory2601.08926v1 · Amy Secunda, Sebastian Wagner-Carena, Helen Qu et al.2026 · 0 citationsarXiv
Three-dimensional scene reconstruction using Roman slitless spectra2601.05233v1 · Tri L. Astraatmadja, Andrew S. Fruchter, Susana E. Deustua et al.2026 · 1 citationarXiv
A Fully Photometric Approach to Type Ia Supernova Cosmology in the LSST Era: Host Galaxy Redshifts and Supernova Classification2512.06319v2 · Ayan Mitra, Richard Kessler, Rebecca C. Chen et al.2025 · 1 citationarXiv
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme2511.19390v1 · Rudy Morel, Francesco Pio Ramunno, Jeff Shen et al.2025 · 0 citationsarXiv
T-FIX: Text-Based Explanations with Features Interpretable to eXperts2511.04070v3 · Shreya Havaldar, Weiqiu You, Chaehyeon Kim et al.2025 · 0 citationsarXiv
Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning2510.17959v2 · Jeff Shen, Francois Lanusse, Liam Holden Parker et al.2025 · 0 citationsarXiv
AION-1: Omnimodal Foundation Model for Astronomical Sciences2510.17960v1 · Liam Parker, Francois Lanusse, Jeff Shen et al.2025 · 2 citationsarXiv
Impact of Pretraining Word Co-occurrence on Compositional Generalization in Multimodal Models2507.08000v1 · Helen Qu, Sang Michael Xie2025 · 0 citationsarXiv
The Hourglass Simulation: A Catalog for the Roman High-Latitude Time-Domain Core Community Survey2506.05161v1 · B. M. Rose, M. Vincenzi, R. Hounsell et al.2025 · 6 citationsarXiv
Dark Energy Survey: implications for cosmological expansion models from the final DES Baryon Acoustic Oscillation and Supernova data2503.06712v2 · T. M. C. Abbott, M. Acevedo, M. Adamow et al.2025 · 27 citationsarXiv
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data2412.02527v1 · The Multimodal Universe Collaboration. Eirini Angeloudi, Jeroen Audenaert, Micah Bowles et al.2024 · 5 citationsarXiv
The FIX Benchmark: Extracting Features Interpretable to eXperts2409.13684v4 · Helen Jin, Shreya Havaldar, Chaehyeon Kim et al.2024 · 0 citationsarXiv
Evaluating Cosmological Biases using Photometric Redshifts for Type Ia Supernova Cosmology with the Dark Energy Survey Supernova Program2407.16744v1 · R. Chen, D. Scolnic, M. Vincenzi et al.2024 · 7 citationsarXiv
The Dark Energy Survey Supernova Program: Investigating Beyond-CDM2406.05048v2 · R. Camilleri, T. M. Davis, M. Vincenzi et al.2024 · 34 citationsarXiv
Towards Precision Photometric Type Ia Supernova Cosmology with Machine Learning2406.04529v1 · Helen Qu2024 · 0 citationsarXiv
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations2402.03325v2 · Helen Qu, Sang Michael Xie2024 · 0 citationsarXiv
The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset2401.02929v4 · T. M. C. Abbott, M. Acevedo, M. Aguena et al.2024 · 35 citationsThe Astrophysical Journal Letters (2024), 973(1), L14on Valency
The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties2401.02945v2 · M. Vincenzi, D. Brout, P. Armstrong et al.2024 · 116 citationsarXiv
Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups2310.16316v5 · Weiqiu You, Helen Qu, Marco Gatti et al.2023 · 0 citationsarXiv
Transformers for scientific data: a pedagogical review for astronomers2310.12069v2 · Dimitrios Tanoglidis, Bhuvnesh Jain, Helen Qu2023 · 1 citationarXiv
The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae2307.13696v2 · H. Qu, M. Sako, M. Vincenzi et al.2023 · 13 citationsarXiv
Probing the Consistency of Cosmological Contours for Supernova Cosmology2307.13862v1 · P. Armstrong, H. Qu, D. Brout et al.2023 · 7 citationsPublications of the Astronomical Society of Australia (2023) 1-9
Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning2305.11869v2 · Helen Qu, Masao Sako2023 · 6 citationsarXiv
The Dark Energy Survey Supernova Program: Corrections on photometry due to wavelength-dependent atmospheric effects2304.01858v1 · J. Lee, M. Acevedo, M. Sako et al.2023 · 10 citationsarXiv
A Convolutional Neural Network Approach to Supernova Time-Series Classification2207.09440v1 · Helen Qu, Masao Sako, Anais Moller et al.2022 · 1 citationarXiv
What's the Difference? The potential for Convolutional Neural Networks for transient detection without template subtraction2203.07390v3 · Tatiana Acero-Cuellar, Federica Bianco, Gregory Dobler et al.2022 · 14 citations2023 AJ 166 115
The Pantheon+ Analysis: Cosmological Constraints2202.04077v2 · Dillon Brout, Dan Scolnic, Brodie Popovic et al.2022 · 1,368 citationsApJ 938 110 (2022)
The Pantheon+ Analysis: SuperCal-Fragilistic Cross Calibration, Retrained SALT2 Light Curve Model, and Calibration Systematic Uncertainty2112.03864v2 · Dillon Brout, Georgie Taylor, Dan Scolnic et al.2021 · 165 citationsApJ 938 111 (2022)
Photometric Classification of Early-Time Supernova Lightcurves with SCONE2111.05539v1 · Helen Qu, Masao Sako2021 · 24 citationsarXivon Valency
A Reference Survey for Supernova Cosmology with the Nancy Grace Roman Space Telescope2111.03081v1 · B. M. Rose, C. Baltay, R. Hounsell et al.2021 · 25 citationsarXiv
SCONE: Supernova Classification with a Convolutional Neural Network2106.04370v1 · Helen Qu, Masao Sako, Anais Moller et al.2021 · 52 citationsarXiv
Career total: 42 works. 36 are in this corpus.
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