Jinsung Yoon

发表

Particle separation device based on optoelectrofluidic method

Kwan Hyoung Kang, Jinsung Yoon, Sanghyun Lee, 2011 .

Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model pdf

Mihaela van der Schaar, Ahmed M. Alaa, Jinsung Yoon, 2017, ArXiv.

Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate

Mihaela van der Schaar, Jinsung Yoon, James Jordon, 2019, NeurIPS.

Adaptive Ensemble Learning With Confidence Bounds

Mihaela van der Schaar, Cem Tekin, Jinsung Yoon, 2017, IEEE Transactions on Signal Processing.

Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data

Changhee Lee, Mihaela van der Schaar, Jinsung Yoon, 2020, IEEE Transactions on Biomedical Engineering.

DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks

Changhee Lee, Mihaela van der Schaar, Jinsung Yoon, 2018, AAAI.

Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation

Jinsung Yoon, Mihaela van der Schaar, Martin Cadeiras, 2018, PloS one.

Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks

Jinsung Yoon, William R. Zame, Mihaela van der Schaar, 2017, IEEE Transactions on Biomedical Engineering.

Discovery and Clinical Decision Support for Personalized Healthcare

Jinsung Yoon, Mihaela van der Schaar, Camelia Davtyan, 2017, IEEE Journal of Biomedical and Health Informatics.

Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes

Ahmed M. Alaa, Jinsung Yoon, Scott Hu, 2016, IEEE Transactions on Biomedical Engineering.

MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks pdf

Mihaela van der Schaar, Jinsung Yoon, Daniel Jarrett, 2018, ArXiv.

Data Valuation using Reinforcement Learning pdf

Sercan O. Arik, Tomas Pfister, Jinsung Yoon, 2019, ICML.

Design of a Dynamic Data-Driven System for Multispectral Video Processing

Mihaela van der Schaar, Erik Blasch, Shuvra S. Bhattacharyya, 2018, Handbook of Dynamic Data Driven Applications Systems.

ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission

Mihaela van der Schaar, Ahmed M. Alaa, Jinsung Yoon, 2016, ICML.

PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees

Mihaela van der Schaar, Jinsung Yoon, James Jordon, 2018, ICLR.

RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks

Mihaela van der Schaar, Jinsung Yoon, James Jordon, 2018, ICML.

Personalized Donor-Recipient Matching for Organ Transplantation pdf

Mihaela van der Schaar, Ahmed M. Alaa, Jinsung Yoon, 2016, AAAI.

INVASE: Instance-wise Variable Selection using Neural Networks

Mihaela van der Schaar, Jinsung Yoon, James Jordon, 2018, ICLR.

Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks

Mihaela van der Schaar, Jinsung Yoon, William R. Zame, 2018, International Conference on Learning Representations.

ASAC: Active Sensing using Actor-Critic models

Mihaela van der Schaar, Jinsung Yoon, James Jordon, 2019, MLHC.

Time-series Generative Adversarial Networks

Mihaela van der Schaar, Jinsung Yoon, Daniel Jarrett, 2019, NeurIPS.

Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN)

Jinsung Yoon, Lydia N Drumright, Mihaela Van Der Schaar, 2020, IEEE Journal of Biomedical and Health Informatics.

Learning and Evaluating Representations for Deep One-class Classification pdf

Chun-Liang Li, Tomas Pfister, Jinsung Yoon, 2020, ICLR.

ToPs: Ensemble Learning With Trees of Predictors

Jinsung Yoon, William R. Zame, Mihaela van der Schaar, 2017, IEEE Transactions on Signal Processing.

Hide-and-Seek Privacy Challenge pdf

Mihaela van der Schaar, Cheng Zhang, Jinsung Yoon, 2020, ArXiv.

Interpretable Sequence Learning for COVID-19 Forecasting pdf

Chun-Liang Li, Shashank Singh, Tomas Pfister, 2020, NeurIPS.

Measuring the quality of Synthetic data for use in competitions pdf

Mihaela van der Schaar, Jinsung Yoon, James Jordon, 2018, ArXiv.

A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data pdf

Mihaela van der Schaar, Ahmed M. Alaa, Jinsung Yoon, 2016, ArXiv.

GAIN: Missing Data Imputation using Generative Adversarial Nets pdf

Mihaela van der Schaar, Jinsung Yoon, James Jordon, 2018, ICML.

GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets

Mihaela van der Schaar, Jinsung Yoon, James Jordon, 2018, ICLR.

VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain

Mihaela van der Schaar, Yao Zhang, Jinsung Yoon, 2020, NeurIPS.

KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks

Mihaela van der Schaar, Jinsung Yoon, James Jordon, 2018, ICLR.

Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts pdf

Mihaela van der Schaar, Ahmed M. Alaa, Jinsung Yoon, 2016, ArXiv.

Adaptive Ensemble Learning with Confidence Bounds for Personalized Diagnosis

Mihaela van der Schaar, Cem Tekin, Jinsung Yoon, 2016, AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI.

Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors pdf

Mihaela van der Schaar, Ahmed M. Alaa, Jinsung Yoon, 2017, ArXiv.

Dynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks

Jinsung Yoon, Mihaela van der Schaar, Daniel Jarrett, 2020, IEEE Journal of Biomedical and Health Informatics.

Feature Selection for Survival Analysis with Competing Risks using Deep Learning pdf

Mihaela van der Schaar, Jinsung Yoon, Carl Rietschel, 2018, ArXiv.

Dynamic, data-driven processing of multispectral video streams

Erik Blasch, Shuvra S. Bhattacharyya, Kishan Sudusinghe, 2017, IEEE Aerospace and Electronic Systems Magazine.

RL-LIM: Reinforcement Learning-based Locally Interpretable Modeling pdf

Sercan O. Arik, Tomas Pfister, Jinsung Yoon, 2019, ArXiv.

Clairvoyance: A Pipeline Toolkit for Medical Time Series

Mihaela van der Schaar, Jinsung Yoon, Ari Ercole, 2023, ICLR.

CutPaste: Self-Supervised Learning for Anomaly Detection and Localization

Tomas Pfister, Jinsung Yoon, Kihyuk Sohn, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Self-Trained One-class Classification for Unsupervised Anomaly Detection pdf

Chen-Yu Lee, Tomas Pfister, Jinsung Yoon, 2021, ArXiv.

Controlling Neural Networks with Rule Representations pdf

Sungyong Seo, Tomas Pfister, Jinsung Yoon, 2021, NeurIPS.