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Jinsung Yoon
Jinsung Yoon
Research Scientist at Google Cloud AI
Bestätigte E-Mail-Adresse bei google.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Gain: Missing data imputation using generative adversarial nets
J Yoon, J Jordon, M Van Der Schaar
International Conference on Machine Learning 80, 5689--5698, 2018
11252018
Time-series generative adversarial networks
J Yoon, D Jarrett, M Van der Schaar
Advances in neural information processing systems 32, 2019
9152019
Cutpaste: Self-supervised learning for anomaly detection and localization
CL Li, K Sohn, J Yoon, T Pfister
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
6732021
PATE-GAN: Generating synthetic data with differential privacy guarantees
J Jordon, J Yoon, M van der Schaar
International Conference on Learning Representations, 2018
6592018
Deephit: A deep learning approach to survival analysis with competing risks
C Lee, W Zame, J Yoon, M Van Der Schaar
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
5482018
GANITE: Estimation of individualized treatment effects using generative adversarial nets
J Yoon, J Jordon, M van der Schaar
International Conference on Learning Representations, 2018
4132018
Estimating missing data in temporal data streams using multi-directional recurrent neural networks
J Yoon, WR Zame, M van der Schaar
IEEE Transactions on Biomedical Engineering 66 (5), 1477-1490, 2018
295*2018
Sex differences in outcomes after STEMI: effect modification by treatment strategy and age
E Cenko, J Yoon, S Kedev, G Stankovic, Z Vasiljevic, G Krljanac, ...
JAMA Internal Medicine 178 (5), 632-639, 2018
2352018
Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis with Competing Risks based on Longitudinal Data
C Lee, J Yoon, M Van Der Schaar
IEEE Transactions on Biomedical Engineering 67 (1), 122--133, 2019
2262019
Learning and evaluating representations for deep one-class classification
K Sohn, CL Li, J Yoon, M Jin, T Pfister
arXiv preprint arXiv:2011.02578, 2020
2172020
Anonymization through data synthesis using generative adversarial networks (ads-gan)
J Yoon, LN Drumright, M Van Der Schaar
IEEE journal of biomedical and health informatics 24 (8), 2378-2388, 2020
2012020
Vime: Extending the success of self-and semi-supervised learning to tabular domain
J Yoon, Y Zhang, J Jordon, M Van der Schaar
Advances in Neural Information Processing Systems 33, 11033-11043, 2020
1982020
INVASE: Instance-wise variable selection using neural networks
J Yoon, J Jordon, M van der Schaar
International Conference on Learning Representations, 2018
1792018
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
1772022
Data valuation using reinforcement learning
J Yoon, S Arik, T Pfister
International Conference on Machine Learning, 10842-10851, 2020
1772020
Personalized risk scoring for critical care prognosis using mixtures of gaussian processes
AM Alaa, J Yoon, S Hu, M Van der Schaar
IEEE Transactions on Biomedical Engineering 65 (1), 207-218, 2017
102*2017
Interpretable sequence learning for COVID-19 forecasting
S Arik, CL Li, J Yoon, R Sinha, A Epshteyn, L Le, V Menon, S Singh, ...
Advances in Neural Information Processing Systems 33, 18807-18818, 2020
972020
Discovery and clinical decision support for personalized healthcare
J Yoon, C Davtyan, M van der Schaar
IEEE Journal of Biomedical and Health Informatics 21 (4), 1133-1145, 2016
932016
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Medrxiv, 2021.02. 03.21250974, 2021
902021
KnockoffGAN: Generating knockoffs for feature selection using generative adversarial networks
J Jordon, J Yoon, M van der Schaar
International Conference on Learning Representations, 2018
812018
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