Tommi Jaakkola

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	总计	2019 年至今
引用	57402	29727
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i10 指数	249	204

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Regina BarzilayProfessor of EECS, MIT在 csail.mit.edu 的电子邮件经过验证
Wengong JinBroad Institute of MIT and Harvard在 csail.mit.edu 的电子邮件经过验证
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Klavs F.JensenChemical Engineering, MIT在 mit.edu 的电子邮件经过验证
Nathan SrebroProfessor, TTIC and University of Chicago在 ttic.edu 的电子邮件经过验证
David Alvarez-MelisHarvard University & Microsoft Research在 seas.harvard.edu 的电子邮件经过验证
Lawrence K. SaulSenior Research Scientist, Flatiron Institute在 flatironinstitute.org 的电子邮件经过验证
Connor W. ColeyMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Alan S. WillskyProfessor of EECS, MIT在 mit.edu 的电子邮件经过验证
Amir GlobersonTel Aviv University在 post.tau.ac.il 的电子邮件经过验证
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, Google在 eng.cam.ac.uk 的电子邮件经过验证
Martin WainwrightProfessor, EECS/Mathematics, Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
William H. GreenHoyt C. Hottel Professor of Chemical Engineering, MIT在 mit.edu 的电子邮件经过验证
Tao LeiGoogle在 google.com 的电子邮件经过验证
David SontagProfessor, Massachusetts Institute of Technology在 csail.mit.edu 的电子邮件经过验证
Ziv Bar-JosephProfessor of Computational Biology and Machine Learning, School of Computer Science, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Richard YoungProfessor of Biology, MIT在 wi.mit.edu 的电子邮件经过验证
Bowen JingMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Georg GerberAssistant Professor of Pathology, Harvard Medical School在 bwh.harvard.edu 的电子邮件经过验证
Kyle SwansonStanford University在 stanford.edu 的电子邮件经过验证

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Tommi Jaakkola

其他姓名Tommi S. Jaakkola

MIT

在 csail.mit.edu 的电子邮件经过验证 - 首页

machine learning natural language processing biomolecular design


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	4735	1999
Exploiting generative models in discriminative classifiers T Jaakkola, D Haussler Advances in neural information processing systems 11, 1998	2085	1998
A deep learning approach to antibiotic discovery JM Stokes, K Yang, K Swanson, W Jin, A Cubillos-Ruiz, NM Donghia, ... Cell 180 (4), 688-702. e13, 2020	1884	2020
Junction tree variational autoencoder for molecular graph generation W Jin, R Barzilay, T Jaakkola International conference on machine learning, 2323-2332, 2018	1580	2018
Maximum-margin matrix factorization N Srebro, J Rennie, T Jaakkola Advances in neural information processing systems 17, 2004	1413	2004
Analyzing learned molecular representations for property prediction K Yang, K Swanson, W Jin, C Coley, P Eiden, H Gao, A Guzman-Perez, ... Journal of chemical information and modeling 59 (8), 3370-3388, 2019	1395	2019
Convergence of stochastic iterative dynamic programming algorithms T Jaakkola, M Jordan, S Singh Advances in neural information processing systems 6, 1993	1336	1993
Towards robust interpretability with self-explaining neural networks D Alvarez Melis, T Jaakkola Advances in neural information processing systems 31, 2018	1045	2018
Weighted low-rank approximations N Srebro, T Jaakkola Proceedings of the 20th international conference on machine learning (ICML …, 2003	1033	2003
Convergence results for single-step on-policy reinforcement-learning algorithms S Singh, T Jaakkola, ML Littman, C Szepesvári Machine learning 38, 287-308, 2000	1015	2000
Rationalizing neural predictions T Lei, R Barzilay, T Jaakkola arXiv preprint arXiv:1606.04155, 2016	947	2016
Variational message passing. J Winn, CM Bishop, T Jaakkola Journal of Machine Learning Research 6 (4), 2005	944	2005
Style transfer from non-parallel text by cross-alignment T Shen, T Lei, R Barzilay, T Jaakkola Advances in neural information processing systems 30, 2017	887	2017
Approximate inference in additive factorial hmms with application to energy disaggregation JZ Kolter, T Jaakkola Artificial intelligence and statistics, 1472-1482, 2012	850	2012
Serial regulation of transcriptional regulators in the yeast cell cycle I Simon, J Barnett, N Hannett, CT Harbison, NJ Rinaldi, TL Volkert, ... Cell 106 (6), 697-708, 2001	847	2001
Partially labeled classification with Markov random walks M Szummer, T Jaakkola Advances in neural information processing systems 14, 2001	839	2001
MAP estimation via agreement on trees: message-passing and linear programming MJ Wainwright, TS Jaakkola, AS Willsky IEEE transactions on information theory 51 (11), 3697-3717, 2005	816	2005
Computational discovery of gene modules and regulatory networks Z Bar-Joseph, GK Gerber, TI Lee, NJ Rinaldi, JY Yoo, F Robert, ... Nature biotechnology 21 (11), 1337-1342, 2003	801	2003
Bayesian parameter estimation via variational methods TS Jaakkola, MI Jordan Statistics and Computing 10, 25-37, 2000	797	2000
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Learning in graphical models, 105-161, 1998	757	1998

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