Elements of effective machine learning datasets in astronomy. - Bernie Boscoe; Tuan Do; Evan Jones; Yunqi Li; Kevin Alfaro; Christy Ma (CoRR, 2022)

Using Galaxy Evolution as Source of Physics-Based Ground Truth for Generative Models. - Yunqi Li; Tuan Do; Evan Jones; Bernie Boscoe; Kevin Alfaro; Zooey Nguyen (CoRR, 2024)

GalaxiesML: a dataset of galaxy images, photometry, redshifts, and structural parameters for machine learning. - Tuan Do; Bernie Boscoe; Evan Jones; Yunqi Li; Kevin Alfaro (CoRR, 2024)

Using different sources of ground truths and transfer learning to improve the generalization of photometric redshift estimation. - Jonathan Soriano; Srinath Saikrishnan; Vikram Seenivasan; Bernie Boscoe; Jack Singal; Tuan Do (CoRR, 2024)

Learning the Evolution of Physical Structure of Galaxies via Diffusion Models. - Andrew Lizarraga; Eric Hanchen Jiang; Jacob Nowack; Yun Qi Li; Ying Nian Wu; Bernie Boscoe; Tuan Do (CoRR, 2024)

GreenCrossingAI: A Camera Trap/Computer Vision Pipeline for Environmental Science Research Groups. - Bernie Boscoe; Shawn Johnson; Andrea Osbon; Chandler Campbell; Karen Mager (CoRR, 2025)

AquiLLM: a RAG Tool for Capturing Tacit Knowledge in Research Groups. - Chandler Campbell; Bernie Boscoe; Tuan Do (CoRR, 2025)