357 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- UCLA HealthUS2 papers
- University of California, Los AngelesUS2 papers
- American UniversityUS1 paper
- California Institute of TechnologyUS1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Institut National de Physique Nucléaire et de Physique des ParticulesFR1 paper
- Kent State UniversityUS1 paper
- National Institute of Standards and TechnologyUS1 paper
- Northwestern UniversityUS1 paper
- Old Dominion UniversityUS1 paper
- Princeton UniversityUS1 paper
- SLAC National Accelerator LaboratoryUS1 paper
4 papers
Combining datasets with different ground truths using Low-Rank Adaptation to generalize image-based CNN models for photometric redshift prediction
Vikram Seenivasan, Srinath Saikrishnan, Andrew Lizarraga +3
In this work, we demonstrate how Low-Rank Adaptation (LoRA) can be used to combine different galaxy imaging datasets to improve redshift estimation with CNN models for cosmology. L…
GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning
Tuan Do, Bernie Boscoe, Evan Jones +2
We present a dataset built for machine learning applications consisting of galaxy photometry, images, spectroscopic redshifts, and structural properties. This dataset comprises 286…
Using Galaxy Evolution as Source of Physics-Based Ground Truth for Generative Models
Yun Qi Li, Tuan Do, Evan Jones +3
Generative models producing images have enormous potential to advance discoveries across scientific fields and require metrics capable of quantifying the high dimensional output. W…
Precision Determination of the Neutron Spin Structure Function g1n
The SLAC E154 Collaboration, K. Abe
We report on a precision measurement of the neutron spin structure function using deep inelastic scattering of polarized electrons by polarized ^3He. For the kinematic rang…