Maria J. Molina

According to our database, Maria J. Molina authored at least 4 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

Hyper-Diffusion: Estimating Epistemic and Aleatoric Uncertainty with a Single Model.

Matthew A. Chan, Maria J. Molina, Christopher A. Metzler

CoRR, 2024

2023

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, Belen Saavedra, Justin Willson, Christopher D. Wirz

CoRR, 2023