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Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction


May 31, 2021
Gyubok Lee, Seongjun Yang, Edward Choi

* To appear in ACL 2021 

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Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training


May 24, 2021
Jong Hak Moon, Hyungyung Lee, Woncheol Shin, Edward Choi

* v1: Main paper + supplementary material (15 pages, 5 figures, 6 tables) 

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A System for Automated Open-Source Threat Intelligence Gathering and Management


Jan 19, 2021
Peng Gao, Xiaoyuan Liu, Edward Choi, Bhavna Soman, Chinmaya Mishra, Kate Farris, Dawn Song


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Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment


Nov 26, 2020
Jeonghoon Park, Kyungmin Jo, Daehoon Gwak, Jimin Hong, Jaegul Choo, Edward Choi


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Knowledge Graph-based Question Answering with Electronic Health Records


Oct 19, 2020
Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi


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Neural Ordinary Differential Equations for Intervention Modeling


Oct 16, 2020
Daehoon Gwak, Gyuhyeon Sim, Michael Poli, Stefano Massaroli, Jaegul Choo, Edward Choi


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Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation


Oct 16, 2020
Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi

* 21 pages 

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Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records


Jun 28, 2019
Edward Choi, Zhen Xu, Yujia Li, Michael W. Dusenberry, Gerardo Flores, Yuan Xue, Andrew M. Dai


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Analyzing the Role of Model Uncertainty for Electronic Health Records


Jun 10, 2019
Michael W. Dusenberry, Dustin Tran, Edward Choi, Jonas Kemp, Jeremy Nixon, Ghassen Jerfel, Katherine Heller, Andrew M. Dai

* Presented at the ICML 2019 Workshop on Uncertainty & Robustness in Deep Learning. Code to be open-sourced 

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Clinical Concept Extraction for Document-Level Coding


Jun 08, 2019
Sarah Wiegreffe, Edward Choi, Sherry Yan, Jimeng Sun, Jacob Eisenstein

* ACL BioNLP workshop (2019) 

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RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records


Oct 23, 2018
Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo

* Accepted at IEEE VIS 2018. To appear in IEEE Transactions on Visualization and Computer Graphics in January 2019 

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MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare


Oct 22, 2018
Edward Choi, Cao Xiao, Walter F. Stewart, Jimeng Sun

* Accepted at NIPS 2018 

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MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks


Apr 17, 2018
Ariel Gordon, Elad Eban, Ofir Nachum, Bo Chen, Hao Wu, Tien-Ju Yang, Edward Choi

* Added reproducibility and stability figures in the appendix, as well minor typos and clarifications to the main text 

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Compositional Obverter Communication Learning From Raw Visual Input


Apr 06, 2018
Edward Choi, Angeliki Lazaridou, Nando de Freitas

* Published as a conference paper at ICLR 2018 

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Generating Multi-label Discrete Patient Records using Generative Adversarial Networks


Jan 11, 2018
Edward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F. Stewart, Jimeng Sun

* Accepted at Machine Learning in Health Care (MLHC) 2017 

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Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction


Jun 20, 2017
Edward Choi, Andy Schuetz, Walter F. Stewart, Jimeng Sun

* 45 pages 

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GRAM: Graph-based Attention Model for Healthcare Representation Learning


Apr 01, 2017
Edward Choi, Mohammad Taha Bahadori, Le Song, Walter F. Stewart, Jimeng Sun


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RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism


Feb 26, 2017
Edward Choi, Mohammad Taha Bahadori, Joshua A. Kulas, Andy Schuetz, Walter F. Stewart, Jimeng Sun

* Accepted at Neural Information Processing Systems (NIPS) 2016 

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Causal Regularization


Feb 23, 2017
Mohammad Taha Bahadori, Krzysztof Chalupka, Edward Choi, Robert Chen, Walter F. Stewart, Jimeng Sun

* Adding theoretical analysis, revising the text 

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Doctor AI: Predicting Clinical Events via Recurrent Neural Networks


Sep 28, 2016
Edward Choi, Mohammad Taha Bahadori, Andy Schuetz, Walter F. Stewart, Jimeng Sun

* Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA 

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Multi-layer Representation Learning for Medical Concepts


Feb 17, 2016
Edward Choi, Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey, Jimeng Sun


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