Diego Mesa

According to our database, Diego Mesa authored at least 10 papers between 2013 and 2020.

Collaborative distances:

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

2020

Ensuring electronic medical record simulation through better training, modeling, and evaluation.

Ziqi Zhang, Chao Yan, Diego A. Mesa, Jimeng Sun, Bradley A. Malin

J. Am. Medical Informatics Assoc., 2020

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

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

Construction and Analysis of Posterior Matching in Arbitrary Dimensions via Optimal Transport.

Diego A. Mesa, Rui Ma, Siva K. Gorantla, Todd P. Coleman

CoRR, 2019

2017

On the Construction of Transport Maps for Scalable Inference and Optimal Communication with Applications in Global Health.

Diego Alberto Mesa

PhD thesis, 2017

An Information and Control Framework for Optimizing User-Compliant Human-Computer Interfaces.

Justin Tantiongloc, Diego Mesa, Rui Ma, Sanggyun Kim, Cristian H. Alzate, Jaime J. Camacho, Vidya B. Manian, Todd P. Coleman

Proc. IEEE, 2017

2016

Diffeomorphism learning via relative entropy constrained optimal transport.

Todd P. Coleman, Justin Tantiongloc, Alexis A. Allegra, Diego Mesa, Dae Y. Kang, Marcela Mendoza

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

A scalable framework to transform samples from one continuous distribution to another.

Diego Mesa, Sanggyun Kim, Todd P. Coleman

Proceedings of the IEEE International Symposium on Information Theory, 2015

Efficient total probability prediction via convex optimization and optimal transport.

Sanggyun Kim, Diego Mesa, Todd P. Coleman

Proceedings of the IEEE International Symposium on Information Theory, 2015

2013

Efficient Bayesian inference methods via convex optimization and optimal transport.

Sanggyun Kim, Rui Ma, Diego Mesa, Todd P. Coleman

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013