John F. Wu
- The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data
2024/12/03 by Jeroen Audenaert, The Multimodal Universe Collaboration, Micah Bowles +54 · 3 voices · 8 citations
#astro-ph.IM #astro-ph.GA #astro-ph.SR
- pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy
2024/08/02 by Kartheik G. Iyer, Mikaeel Yunus, Charles O'Neill +27 · 2 voices · 3 citations
#astro-ph.IM #cs.DL #cs.IR
- The SAGA Survey. III. A Census of 101 Satellite Systems around Milky Way–mass Galaxies
2024/04/22 by Yao-Yuan Mao, Marla Geha, Risa H. Wechsler +12 · 1 voice · 5 citations
Physics and Astronomy · #Astronomy and Astrophysical Research #Gamma-ray bursts and supernovae #Stellar, planetary, and galactic studies #astro-ph.CO #astro-ph.GA
- Target Selection and Sample Characterization for the DESI LOW-Z Secondary Target Program
2022/12/14 by Elise Darragh-Ford, Darragh-Ford, Elise, John F. Wu +96 · 1 voice · 2 citations
Engineering · Physics and Astronomy · #Astronomy and Astrophysical Research #CCD and CMOS Imaging Sensors #Galaxies: Formation, Evolution, Phenomena #astro-ph.GA
- The SAGA Survey. V. Modeling Satellite Systems around Milky Way-mass Galaxies with Updated UniverseMachine
2024/04/22 by Yunchong Wang, Ethan O. Nadler, Wang, Yunchong +25 · 4 citations
Engineering · Physics and Astronomy · #Astronomical Observations and Instrumentation #Astronomy and Astrophysical Research #Astrophysics of Galaxies (astro-ph.GA) #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences #Stellar, planetary, and galactic studies
- Predicting the spectrum of UGC 2885, Rubin's Galaxy with machine\n learning
2021/05/07 by Benne W. Holwerda, John F. Wu, Holwerda, Benne W. +23 · 1 citation
Chemistry · Mathematics · #Advanced Statistical Methods and Models #Astrophysics of Galaxies (astro-ph.GA) #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Spectroscopy and Chemometric Analyses #Statistical and numerical algorithms
- Insights on Galaxy Evolution from Interpretable Sparse Feature Networks
2024/12/30 by John F. Wu, Wu, John F. · 2 voices · 2 citations
Computer Science · Physics and Astronomy · #Astrophysics of Galaxies (astro-ph.GA) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #astro-ph.GA #cs.LG
- Disentangling Dense Embeddings with Sparse Autoencoders
2024/08/01 by Charles O’Neill, O'Neill, Charles, Christine Ye +5 · 2 citations
Computer Science · #Digital Media Forensic Detection #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning
- Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers
2023/10/19 by Daniela Huppenkothen, Michelle Ntampaka, Huppenkothen, D. +40 · 1 citation
Engineering · Physics and Astronomy · #Astronomy and Astrophysical Research #FOS: Computer and information sciences #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #SAS software applications and methods
- How does feedback affect the star formation histories of galaxies?
2025/08/28 by Kartheik G. Iyer, Tjitske Starkenburg, Iyer, Kartheik G. +46 · 3 voices · 1 citation
Physics and Astronomy · #Astronomy and Astrophysical Research #Astrophysics of Galaxies (astro-ph.GA) #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #Electrical and Electromagnetic Research #FOS: Physical sciences #Galaxies: Formation, Evolution, Phenomena #astro-ph.CO #astro-ph.GA
- How to Craft the Right Language AI Policy For Your Research Group (Some Assembly Required)
2026/07/23 by Michelle Ntampaka, S. Burke-Spolaor, Ioana Ciucă +14
#astro-ph.IM #physics.soc-ph