Emma R. Cobian, Jonathan D. Hauenstein, Fang Liu, and Daniele E. Schiavazzi, “AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation. International Journal of Uncertainty Quantification, 13(3), 39-69, 2023.pdf, GitHub
Jonathan D. Hauenstein, Alan Huebner, John P. Wagle, Emma R. Cobian, Joseph Cummings, Caroline Hills, Megan McGinty, Mandy Merritt, Sam Rosengarten, Kyle Skinner, Michael Szemborski, and Leigh Wojtkiewicz. “Assessing Reliability of Movement Screenings Using a Markerless Motion Capture System.” Orthopedic Journal of Sports Medicine, 12(3), 23259671241234339, 2024. pdf
Yu Wang, Emma R. Cobian, Jubilee Lee, Fang Liu, Jonathan D. Hauenstein, and Daniele E. Schiavazzi. “LINFA: A Python Library for Variational Inference with Normalizing Flow and Annealing.” Journal of Open Source Software, 9(96), 6309, 2024.pdf, GitHub
Emma R. Cobian, Jonathan D. Hauenstein, and Charles W. Wampler. “Robust Numerical Irreducible Decomposition.” Submitted.
