Efficient Bayesian inference methods via convex optimization and optimal transport. - Sanggyun Kim; Rui Ma 002; Diego Mesa; Todd P. Coleman (ISIT, 2013)

Efficient total probability prediction via convex optimization and optimal transport. - Sanggyun Kim; Diego Mesa; Todd P. Coleman (ISIT, 2015)

A scalable framework to transform samples from one continuous distribution to another. - Diego Mesa; Sanggyun Kim; Todd P. Coleman (ISIT, 2015)

Diffeomorphism learning via relative entropy constrained optimal transport. - Todd P. Coleman; Justin Tantiongloc; Alexis A. Allegra; Diego Mesa; Dae Y. Kang; Marcela Mendoza (GlobalSIP, 2016)

An Information and Control Framework for Optimizing User-Compliant Human-Computer Interfaces. - Justin Tantiongloc; Diego Mesa; Rui Ma 002; Sanggyun Kim; Cristian H. Alzate; Jaime J. Camacho; Vidya B. Manian; Todd P. Coleman (Proc. IEEE, 2017)

On the Construction of Transport Maps for Scalable Inference and Optimal Communication with Applications in Global Health. - Diego Alberto Mesa (2017)

Construction and Analysis of Posterior Matching in Arbitrary Dimensions via Optimal Transport. - Diego A. Mesa; Rui Ma 002; Siva K. Gorantla; Todd P. Coleman (CoRR, 2019)

A Distributed Framework for the Construction of Transport Maps. - Diego A. Mesa; Justin Tantiongloc; Marcela Mendoza; Sanggyun Kim; Todd P. Coleman (Neural Comput., 2019)

The Value of Nullspace Tuning Using Partial Label Information. - Colin B. Hansen; Vishwesh Nath; Diego A. Mesa; Yuankai Huo; Bennett A. Landman; Thomas A. Lasko (CoRR, 2020)

Ensuring electronic medical record simulation through better training, modeling, and evaluation. - Ziqi Zhang 005; Chao Yan 004; Diego A. Mesa; Jimeng Sun 001; Bradley A. Malin (J. Am. Medical Informatics Assoc., 2020)