Time-series Generative Adversarial Networks J Yoon*, D Jarrett*, M van der Schaar Neural Information Processing Systems (NeurIPS), 2019 | 1106 | 2019 |
How Artificial Intelligence and Machine Learning can Help Healthcare Systems Respond to COVID-19 M van der Schaar, A Alaa, A Floto, AE Gimson, S Scholtes, A Wood, ... Machine Learning (Mach. Learn.), 2021 | 185 | 2021 |
Applications and Limitations of Machine Learning in Radiation Oncology D Jarrett, E Stride, K Vallis, MJ Gooding The British Journal of Radiology (BJR), 2019 | 173 | 2019 |
Dynamic Prediction in Clinical Survival Analysis using Temporal Convolutional Networks D Jarrett, J Yoon, M van der Schaar IEEE Journal of Biomedical and Health Informatics (JBHI), 2019 | 78 | 2019 |
Strictly Batch Imitation Learning by Energy-based Distribution Matching D Jarrett*, I Bica*, M van der Schaar Neural Information Processing Systems (NeurIPS), 2020 | 58 | 2020 |
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection D Jarrett*, B Cebere*, T Liu, A Curth, M van der Schaar International Conference on Machine Learning (ICML), 2022 | 48 | 2022 |
Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification J Jordon, D Jarrett, E Saveliev, J Yoon, P Elbers, P Thoral, A Ercole, ... Neural Information Processing Systems (NeurIPS), 2020 | 42 | 2020 |
Invariant Causal Imitation Learning for Generalizable Policies I Bica*, D Jarrett*, M van der Schaar Neural Information Processing Systems (NeurIPS), 2021 | 40 | 2021 |
Clairvoyance: A Pipeline Toolkit for Medical Time Series D Jarrett*, J Yoon*, I Bica, Z Qian, A Ercole, M van der Schaar International Conference on Learning Representations (ICLR), 2021 | 37 | 2021 |
Learning "What-If" Explanations for Sequential Decision-Making I Bica, D Jarrett, A Hüyük, M van der Schaar International Conference on Learning Representations (ICLR), 2021 | 35 | 2021 |
Time-series Generation by Contrastive Imitation D Jarrett, I Bica, M van der Schaar Neural Information Processing Systems (NeurIPS), 2021 | 31 | 2021 |
Inverse Decision Modeling: Learning Interpretable Representations of Behavior D Jarrett*, A Hüyük*, M van der Schaar International Conference on Machine Learning (ICML), 2021 | 31 | 2021 |
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning A Hüyük*, D Jarrett*, C Tekin, M van der Schaar International Conference on Learning Representations (ICLR), 2021 | 25 | 2021 |
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making D Jarrett, M van der Schaar International Conference on Machine Learning (ICML), 2020 | 23 | 2020 |
Medkit-Learn(ing) Environment: Medical Decision Modeling through Simulation AJ Chan, I Bica, A Hüyük, D Jarrett, M van der Schaar Neural Information Processing Systems (NeurIPS), 2021 | 16 | 2021 |
Target-Embedding Autoencoders for Supervised Representation Learning D Jarrett, M van der Schaar International Conference on Learning Representations (ICLR), 2020 | 16 | 2020 |
Inverse Contextual Bandits: Learning How Behavior Evolves over Time A Hüyük*, D Jarrett*, M van der Schaar International Conference on Machine Learning (ICML), 2022 | 15 | 2022 |
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments D Jarrett, C Tallec, F Altché, T Mesnard, R Munos, M Valko International Conference on Machine Learning (ICML), 2023 | 13 | 2023 |
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning Y Zhang, D Jarrett, M van der Schaar Artificial Intelligence and Statistics (AISTATS), 2020 | 11 | 2020 |
Match-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks D Jarrett, J Yoon, M van der Schaar Machine Learning for Health Workshop (NeurIPS), 2018 | 11 | 2018 |