Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications. - John S. Schreck; David John Gagne II; Charlie Becker; William E. Chapman; Kim Elmore; Gabrielle Gantos; Eliot Kim; Dhamma Kimpara; Thomas Martin; Maria J. Molina; Vanessa M. Pryzbylo; Jacob Radford; et al. (CoRR, 2023)

Hyper-Diffusion: Estimating Epistemic and Aleatoric Uncertainty with a Single Model. - Matthew A. Chan 002; Maria J. Molina; Christopher A. Metzler (CoRR, 2024)

Using Generative Artificial Intelligence Creatively in the Classroom: Examples and Lessons Learned. - Maria J. Molina; Amy McGovern; Jhayron S. Perez-Carrasquilla; Robin L. Tanamachi (CoRR, 2024)

Recommendations for Comprehensive and Independent Evaluation of Machine Learning-Based Earth System Models. - Paul A. Ullrich; Elizabeth A. Barnes; William D. Collins; Katherine Dagon; Shiheng Duan; Joshua Elms; Jiwoo Lee; L. Ruby Leung; Dan Lu; Maria J. Molina; Travis A. O'Brien (CoRR, 2024)

Reconstructing Tornadoes in 3D with Gaussian Splatting. - Adam Yang 003; Nadula Kadawedduwa; Tianfu Wang 007; Maria J. Molina; Christopher A. Metzler (CoRR, 2025)