Learning Physics from the Machine: An Interpretable Boosted Decision Tree Analysis for the Majorana Demonstrator. - I. J. Arnquist; F. T. Avignone III; Alexander Stepanovich Barabash; C. J. Barton; K. H. Bhimani; E. Blalock; B. Bos; M. Busch; M. Buuck; Thomas S. Caldwell; Y.-D. Chan; C. D. Christofferson; et al. (CoRR, 2022)

Majorana Demonstrator Data Release for AI/ML Applications. - I. J. Arnquist; F. T. Avignone III; Alexander Stepanovich Barabash; C. J. Barton; K. H. Bhimani; E. Blalock; B. Bos; M. Busch; M. Buuck; Thomas S. Caldwell; Y.-D. Chan; C. D. Christofferson; et al. (CoRR, 2023)

Machine learning-powered data cleaning for LEGEND: a semi-supervised approach using affinity propagation and support vector machines. - Esteban León; Aobo Li; Miguel Angel Bahena Schott; B. Bos; M. Busch; J. R. Chapman; G. L. Duran; Julieta Gruszko; R. Henning; E. L. Martin; John F. Wilkerson (Mach. Learn. Sci. Technol., 2025)

CycleGAN-driven transfer learning for electronics response emulation in high-purity germanium detectors. - Kevin Bhimani; Julieta Gruszko; Morgan Clark; John F. Wilkerson; Aobo Li (Mach. Learn. Sci. Technol., 2026)