Paul M. Mayer

According to our database, Paul M. Mayer authored at least 4 papers between 2018 and 2024.

Collaborative distances:

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

2024

Boomerang: Local sampling on image manifolds using diffusion models.

Lorenzo Luzi, Paul M. Mayer, Josue Casco-Rodriguez, Ali Siahkoohi, Richard G. Baraniuk

Trans. Mach. Learn. Res., 2024

Removing Bias from Maximum Likelihood Estimation with Model Autophagy.

Paul M. Mayer, Lorenzo Luzi, Ali Siahkoohi, Don H. Johnson, Richard G. Baraniuk

CoRR, 2024

2020

Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors.

Yehuda Dar, Paul M. Mayer, Lorenzo Luzi, Richard G. Baraniuk

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Embedding co-production and addressing uncertainty in watershed modeling decision-support tools: Successes and challenges.

Bradley L. Barnhart, Heather E. Golden, Joseph R. Kasprzyk, James J. Pauer, Chas E. Jones, Keith A. Sawicz, Nahal Hoghooghi, Michelle Simon, Robert B. McKane, Paul M. Mayer, Amy N. Piscopo, Darren L. Ficklin, Jonathan J. Halama, Paul B. Pettus, Brenda Rashleigh

Environ. Model. Softw., 2018