David Sontag

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Fredrik D. JohanssonAssociate Professor, Chalmers University of TechnologyAdresse e-mail validée de chalmers.se
Yoni HalpernGoogleAdresse e-mail validée de google.com
Steven HorngClinical Lead for Machine Learning, Beth Israel Deaconess Medical CenterAdresse e-mail validée de bidmc.harvard.edu
Uri ShalitAssociate Professor, Technion - Israel Institute of TechnologyAdresse e-mail validée de technion.ac.il
Monica AgrawalAssistant Professor, DukeAdresse e-mail validée de duke.edu
Yoon KimAssistant Professor, MITAdresse e-mail validée de mit.edu
Yacine JerniteResearch Scientist, HuggingFaceAdresse e-mail validée de cs.nyu.edu
Tommi JaakkolaMITAdresse e-mail validée de csail.mit.edu
Hunter LangMITAdresse e-mail validée de mit.edu
Alexander M. RushAssociate Professor, Cornell UniversityAdresse e-mail validée de cornell.edu
Michael OberstJohns HopkinsAdresse e-mail validée de jhu.edu
Amir GlobersonTel Aviv UniversityAdresse e-mail validée de post.tau.ac.il
Rahul G. KrishnanUniversity of TorontoAdresse e-mail validée de cs.toronto.edu
Narges RazavianNew York University Medical CenterAdresse e-mail validée de nyumc.org
Irene Y. ChenAssistant Professor, UC Berkeley and UC San FranciscoAdresse e-mail validée de berkeley.edu
Larry NathansonAssistant Professor of Emergency Medicine, Harvard Medical SchoolAdresse e-mail validée de bidmc.harvard.edu
Hussein MozannarMicrosoft ResearchAdresse e-mail validée de microsoft.com
Aaron Smith-McLallenDirector - Data Science & Health Care AnalyticsAdresse e-mail validée de ibx.com
Nathan ShapiroBeth Israel Deaconess MEdical CenterAdresse e-mail validée de bidmc.harvard.edu
Ryen W. WhiteGeneral Manager, Deputy Lab Director, Microsoft ResearchAdresse e-mail validée de microsoft.com

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David Sontag

Professor, Massachusetts Institute of Technology

Adresse e-mail validée de csail.mit.edu - Page d'accueil

Machine Learning Healthcare Artificial Intelligence Large Language Models Approximate Inference


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Recurrent neural networks for multivariate time series with missing values Z Che, S Purushotham, K Cho, D Sontag, Y Liu Scientific reports 8 (1), 6085, 2018	2261	2018
Character-aware neural language models Y Kim, Y Jernite, D Sontag, AM Rush Thirtieth AAAI Conference on Artificial Intelligence, 2016	2192	2016
Estimating individual treatment effect: generalization bounds and algorithms U Shalit, F Johansson, D Sontag Proceedings of the International Conference on Machine Learning (ICML), 2017	1149	2017
Learning Representations for Counterfactual Inference FD Johansson, U Shalit, D Sontag 33rd International Conference on Machine Learning (ICML), 2016	855	2016
Causal Effect Inference with Deep Latent-Variable Models C Louizos, U Shalit, J Mooij, D Sontag, R Zemel, M Welling Neural Information Processing Systems (NIPS) 31, 2017	837	2017
BLOG: Probabilistic models with unknown objects B Milch, B Marthi, S Russell, D Sontag, DL Ong, A Kolobov Introduction to statistical relational learning, 373, 2007	618	2007
A practical algorithm for topic modeling with provable guarantees S Arora, R Ge, Y Halpern, D Mimno, A Moitra, D Sontag, Y Wu, M Zhu Proceedings of the International Conference on Machine Learning (ICML), 280--288, 2013	558	2013
Structured inference networks for nonlinear state space models RG Krishnan, U Shalit, D Sontag Thirty-First AAAI Conference on Artificial Intelligence, 2017	538	2017
Why is my classifier discriminatory? I Chen, FD Johansson, D Sontag NeurIPS, 2018	517	2018
Learning a health knowledge graph from electronic medical records M Rotmensch, Y Halpern, A Tlimat, S Horng, D Sontag Scientific reports 7 (1), 5994, 2017	477	2017
Guidelines for reinforcement learning in healthcare O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ... Nature medicine 25 (1), 16-18, 2019	461	2019
Deep kalman filters RG Krishnan, U Shalit, D Sontag arXiv preprint arXiv:1511.05121, 2015	436	2015
Learning Low-Dimensional Representations of Medical Concepts Y Choi, CYI Chiu, D Sontag Proceedings of the AMIA Summit on Clinical Research Informatics (CRI), 2016	380	2016
Tightening LP relaxations for MAP using message passing D Sontag, T Meltzer, A Globerson, T Jaakkola, Y Weiss Uncertainty in Artificial Intelligence (UAI) 24, 2008	367*	2008
Unsupervised learning of disease progression models X Wang, D Sontag, F Wang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	320	2014
Large language models are few-shot clinical information extractors M Agrawal, S Hegselmann, H Lang, Y Kim, D Sontag Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022	318	2022
Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning S Horng, DA Sontag, Y Halpern, Y Jernite, NI Shapiro, LA Nathanson PloS one 12 (4), e0174708, 2017	299	2017
Learning Bayesian network structure using LP relaxations T Jaakkola, D Sontag, A Globerson, M Meila Proceedings of the thirteenth international conference on artificial …, 2010	296	2010
Semi-amortized variational autoencoders Y Kim, S Wiseman, AC Miller, D Sontag, AM Rush ICML, 2018	287	2018
Population-level prediction of type 2 diabetes from claims data and analysis of risk factors N Razavian, S Blecker, AM Schmidt, A Smith-McLallen, S Nigam, ... Big Data 3 (4), 277-287, 2015	268	2015

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