Daniel Jarrett

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Mihaela van der SchaarUniversity of Cambridge, The Alan Turing InstitutePatvirtintas el. paštas ee.ucla.edu
Jinsung YoonResearch Scientist at Google Cloud AIPatvirtintas el. paštas google.com
Ioana BicaResearch Scientist at DeepMindPatvirtintas el. paštas google.com
Alihan HüyükHarvard UniversityPatvirtintas el. paštas seas.harvard.edu
Ahmed M. AlaaAssistant Professor, UC Berkeley and UCSFPatvirtintas el. paštas berkeley.edu
Mark J GoodingInpictura LimitedPatvirtintas el. paštas inpicturamedica.com
Michiel BakkerGoogle DeepMind, Massachusetts Institute of TechnologyPatvirtintas el. paštas mit.edu
Michael Henry TesslerDeepMindPatvirtintas el. paštas deepmind.com
Christopher SummerfieldUniversity of OxfordPatvirtintas el. paštas psy.ox.ac.uk
Raphael KösterGoogle DeepMindPatvirtintas el. paštas google.com
Alex J. ChanConvergencePatvirtintas el. paštas convergence.ai
Michal ValkoChief Models Officer @ Stealth Startup, Inria & MVA - Ex: Llama at Meta; Gemini and BYOL @ DeepmindPatvirtintas el. paštas meta.com
Rémi MunosFAIR, MetaPatvirtintas el. paštas inria.fr
Florent AltchéResearch Engineer, DeepMindPatvirtintas el. paštas google.com
Corentin TallecDeepMindPatvirtintas el. paštas google.com
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityPatvirtintas el. paštas eecs.harvard.edu
Matthew BotvinickGoogle DeepMind, Yale Law School, University College LondonPatvirtintas el. paštas google.com
Hannah SheahanOpenAIPatvirtintas el. paštas google.com
Miruna PîslarGoogle DeepMindPatvirtintas el. paštas google.com

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Daniel Jarrett

Research Scientist at DeepMind

Patvirtintas el. paštas deepmind.com - Pagrindinis puslapis

Generative Modeling Reinforcement Learning Causal Inference


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Time-series Generative Adversarial Networks J Yoon, D Jarrett, M van der Schaar Neural Information Processing Systems (NeurIPS), 2019	1374	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	208	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	184	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	82	2019
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	77	2022
Strictly Batch Imitation Learning by Energy-based Distribution Matching D Jarrett, I Bica, M van der Schaar Neural Information Processing Systems (NeurIPS), 2020	69	2020
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	52	2021
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	48	2020
Invariant Causal Imitation Learning for Generalizable Policies I Bica, D Jarrett, M van der Schaar Neural Information Processing Systems (NeurIPS), 2021	47	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	38	2021
Time-series Generation by Contrastive Imitation D Jarrett, I Bica, M van der Schaar Neural Information Processing Systems (NeurIPS), 2021	36	2021
AI can Help Humans Find Common Ground in Democratic Deliberation MH Tessler, MA Bakker, D Jarrett, H Sheahan, MJ Chadwick, R Koster, ... Science 386 (6719), 2024	35	2024
Inverse Decision Modeling: Learning Interpretable Representations of Behavior D Jarrett, A Hüyük, M van der Schaar International Conference on Machine Learning (ICML), 2021	33	2021
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making D Jarrett, M van der Schaar International Conference on Machine Learning (ICML), 2020	29	2020
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	28	2021
Target-Embedding Autoencoders for Supervised Representation Learning D Jarrett, M van der Schaar International Conference on Learning Representations (ICLR), 2020	20	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	19	2021
Inverse Contextual Bandits: Learning How Behavior Evolves over Time A Hüyük, D Jarrett, M van der Schaar International Conference on Machine Learning (ICML), 2022	18	2022
Language Agents as Digital Representatives in Collective Decision-Making D Jarrett, M Pîslar, M Bakker, M Tessler, R Köster, J Balaguer, R Elie, ... Foundation Models for Decision Making Workshop (NeurIPS), 2023	16	2023
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	14	2023

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