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Daniel Jarrett. Note: As of April 2023, I have joined Google DeepMind full time as Research Scientist. I am a final-year Ph.D. candidate in Mathematics at the University of Cambridge , advised by Mihaela van der Schaar in the Machine Learning and Artificial Intelligence group.
Articles 1–20. Research Scientist at DeepMind - Cited by 1,878 - Generative Modeling - Reinforcement Learning - Causal Inference.
Daniel Jarrett, Jinsung Yoon, Member, IEEE, and Mihaela van der Schaar, Fellow, IEEE. Abstract—Accurate prediction of disease trajectories is critical for early identification and timely treatment of patients at risk.
View Daniel Jarrett’s profile on LinkedIn, a professional community of 1 billion members. Academic Website: https://danieljarrett.github.io/<br><br>Ph.D. candidate in machine… ·...
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INTRODUCTION. principal challenge in modeling human behavior is in obtaining a transparent understanding of decision-making. In medical diagnosis, for instance, there is often significant regional and institutional variation in clinical practice [1], much of it the leading cause of rising healthcare costs [2].
At the same time, supervised models for sequence prediction—which allow finer control over network dynamics—are inherently deterministic. We propose a novel framework for generating realistic time-series data that combines the flexibility of the unsupervised paradigm with the control afforded by supervised training.
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Daniel Jarrett, Jinsung Yoon, Mihaela van der Schaar: MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks. CoRR abs/1811.10746 ( 2018 )
