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Daniel Jarrett
Daniel Jarrett
Verified email at maths.cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Time-series Generative Adversarial Networks
J Yoon*, D Jarrett*, M van der Schaar
Neural Information Processing Systems (NeurIPS), 2019
2452019
Applications and Limitations of Machine Learning in Radiation Oncology
D Jarrett, E Stride, K Vallis, MJ Gooding
The British Journal of Radiology (BJR), 2019
812019
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
602021
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
372019
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
142021
Strictly Batch Imitation Learning by Energy-based Distribution Matching
D Jarrett*, I Bica*, M van der Schaar
Neural Information Processing Systems (NeurIPS), 2020
142020
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
122021
Hide-and-Seek Privacy Challenge
J Jordon, D Jarrett, E Saveliev, J Yoon, P Elbers, P Thoral, A Ercole, ...
Neural Information Processing Systems (NeurIPS), 2020
11*2020
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making
D Jarrett, M van der Schaar
International Conference on Machine Learning (ICML), 2020
92020
Match-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks
D Jarrett, J Yoon, M van der Schaar
NeurIPS Workshop on Machine Learning for Health (ML4H), 2018
82018
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
72021
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning
Y Zhang, D Jarrett, M van der Schaar
Artificial Intelligence and Statistics (AISTATS), 2020
62020
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
D Jarrett*, A Hüyük*, M van der Schaar
International Conference on Machine Learning (ICML), 2021
52021
Time-series Generation by Contrastive Imitation
D Jarrett, I Bica, M van der Schaar
Neural Information Processing Systems (NeurIPS), 2021
42021
Target-Embedding Autoencoders for Supervised Representation Learning
D Jarrett, M van der Schaar
International Conference on Learning Representations (ICLR), 2020
42020
Invariant Causal Imitation Learning for Generalizable Policies
I Bica*, D Jarrett*, M van der Schaar
Neural Information Processing Systems (NeurIPS), 2021
12021
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
12021
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
2022
Inverse Contextual Bandits: Learning How Behavior Evolves over Time
A Hüyük*, D Jarrett*, M van der Schaar
International Conference on Machine Learning (ICML), 2022
2022
Closing the Loop in Medical Decision Support: A Case Study on Organ Transplantation
Y Qin, F Imrie, A Hüyük, D Jarrett, AE Gimson, M van der Schaar
Neural Information Processing Systems (NeurIPS), 2021
2021
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