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2020 – today
- 2020
[j3]Ziqi Zhang, Chao Yan
, Diego A. Mesa, Jimeng Sun, Bradley A. Malin:
Ensuring electronic medical record simulation through better training, modeling, and evaluation. J. Am. Medical Informatics Assoc. 27(1): 99-108 (2020)- [i2]Colin B. Hansen, Vishwesh Nath, Diego A. Mesa, Yuankai Huo, Bennett A. Landman, Thomas A. Lasko:
The Value of Nullspace Tuning Using Partial Label Information. CoRR abs/2003.07921 (2020)
2010 – 2019
- 2019
- [j2]Diego A. Mesa, Justin Tantiongloc, Marcela Mendoza, Sanggyun Kim, Todd P. Coleman:
A Distributed Framework for the Construction of Transport Maps. Neural Comput. 31(4) (2019) - [i1]Diego A. Mesa, Rui Ma, Siva K. Gorantla, Todd P. Coleman:
Construction and Analysis of Posterior Matching in Arbitrary Dimensions via Optimal Transport. CoRR abs/1901.02523 (2019) - 2017
- [b1]Diego Alberto Mesa:
On the Construction of Transport Maps for Scalable Inference and Optimal Communication with Applications in Global Health. University of California, San Diego, USA, 2017 - [j1]Justin Tantiongloc, Diego Mesa, Rui Ma, Sanggyun Kim, Cristian H. Alzate, Jaime J. Camacho, Vidya B. Manian, Todd P. Coleman:
An Information and Control Framework for Optimizing User-Compliant Human-Computer Interfaces. Proc. IEEE 105(2): 273-285 (2017) - 2016
- [c4]Todd P. Coleman, Justin Tantiongloc, Alexis A. Allegra, Diego Mesa, Dae Y. Kang, Marcela Mendoza:
Diffeomorphism learning via relative entropy constrained optimal transport. GlobalSIP 2016: 1330-1334 - 2015
- [c3]Diego Mesa, Sanggyun Kim, Todd P. Coleman:
A scalable framework to transform samples from one continuous distribution to another. ISIT 2015: 676-680 - [c2]Sanggyun Kim, Diego Mesa, Todd P. Coleman:
Efficient total probability prediction via convex optimization and optimal transport. ISIT 2015: 681-685 - 2013
- [c1]Sanggyun Kim, Rui Ma, Diego Mesa, Todd P. Coleman:
Efficient Bayesian inference methods via convex optimization and optimal transport. ISIT 2013: 2259-2263
Coauthor Index
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