8 citations · 15 across the 5 of their papers we have counts for
6 papers
Semi-supervised Contrastive Learning Using Partial Label Information
Colin B. Hansen, Vishwesh Nath, Diego A. Mesa +3
In semi-supervised learning, information from unlabeled examples is used to improve the model learned from labeled examples. In some learning problems, partial label information ca…
Computational Phenotype Discovery via Probabilistic Independence
Thomas A. Lasko, Diego A. Mesa
Computational Phenotype Discovery research has taken various pragmatic approaches to disentangling phenotypes from the episodic observations in Electronic Health Records. In this w…
Construction and Analysis of Posterior Matching in Arbitrary Dimensions via Optimal Transport
Diego A. Mesa, Rui Ma, Siva K. Gorantla +1
The posterior matching scheme, for feedback encoding of a message point lying on the unit interval over memoryless channels, maximizes mutual information for an arbitrary number of…
Embedding Complexity In the Data Representation Instead of In the Model: A Case Study Using Heterogeneous Medical Data
Jacek M. Bajor, Diego A. Mesa, Travis J. Osterman +1
Electronic Health Records have become popular sources of data for secondary research, but their use is hampered by the amount of effort it takes to overcome the sparsity, irregular…
A Distributed Framework for the Construction of Transport Maps
Diego A. Mesa, Justin Tantiongloc, Marcela Mendoza +1
The need to reason about uncertainty in large, complex, and multi-modal datasets has become increasingly common across modern scientific environments. The ability to transform samp…
Tractable Fully Bayesian Inference via Convex Optimization and Optimal Transport Theory
Sanggyun Kim, Diego Mesa, Rui Ma +1
We consider the problem of transforming samples from one continuous source distribution into samples from another target distribution. We demonstrate with optimal transport theory…