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Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization


Apr 03, 2021
Edgar A. Bernal


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Machine learning the real discriminant locus


Jun 24, 2020
Edgar A. Bernal, Jonathan D. Hauenstein, Dhagash Mehta, Margaret H. Regan, Tingting Tang

* 22 pages, 14 figures 

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MCFlow: Monte Carlo Flow Models for Data Imputation


Mar 27, 2020
Trevor W. Richardson, Wencheng Wu, Lei Lin, Beilei Xu, Edgar A. Bernal

* 2020 Computer Vision and Pattern Recognition (CVPR) 

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Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis


Mar 28, 2019
Lei Lin, Beilei Xu, Wencheng Wu, Trevor Richardson, Edgar A. Bernal


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Towards Robust Deep Neural Networks


Oct 27, 2018
Timothy E. Wang, Jack Gu, Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal


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The Loss Surface of XOR Artificial Neural Networks


Apr 06, 2018
Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal, David J. Wales

* Phys. Rev. E 97, 052307 (2018) 
* 19 pages, 6 figures. Submitted to journal in Oct, 2017 

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Deep Multimodal Representation Learning from Temporal Data


Apr 11, 2017
Xitong Yang, Palghat Ramesh, Radha Chitta, Sriganesh Madhvanath, Edgar A. Bernal, Jiebo Luo

* To appear in CVPR 2017 

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