Tommi Jaakkola

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Wengong JinBroad Institute of MIT and HarvardVerified email at csail.mit.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Klavs F.JensenChemical Engineering, MITVerified email at mit.edu
Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
David Alvarez-MelisMicrosoft Research & Harvard UniversityVerified email at seas.harvard.edu
Alan S. WillskyProfessor of EECS, MITVerified email at mit.edu
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
Connor W. ColeyDepartment of Chemical Engineering, MITVerified email at mit.edu
Martin WainwrightProfessor, EECS/Mathematics, Massachusetts Institute of TechnologyVerified email at mit.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Lawrence K SaulSenior Research Scientist, Center for Computational Mathematics, Flatiron InstituteVerified email at flatironinstitute.org
Tao LeiGoogleVerified email at google.com
Georg GerberAssistant Professor of Pathology, Harvard Medical SchoolVerified email at bwh.harvard.edu
David SontagProfessor, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
William H. GreenHoyt C. Hottel Professor of Chemical Engineering, MITVerified email at mit.edu
Ziv Bar-JosephProfessor of Computational Biology and Machine Learning, School of Computer Science, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Richard YoungProfessor of Biology, MITVerified email at wi.mit.edu
David HausslerScientific Director, UC Santa Cruz Genomics Institute, University of California, Santa CruzVerified email at soe.ucsc.edu
Kyle SwansonStanford UniversityVerified email at stanford.edu
Kevin YangUC BerkeleyVerified email at berkeley.edu

Tommi Jaakkola

Other namesTommi S. Jaakkola

MIT

Verified email at csail.mit.edu - Homepage

machine learning natural language processing biomolecular design


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	4480	1999
Exploiting generative models in discriminative classifiers T Jaakkola, D Haussler Advances in neural information processing systems 11, 1998	2058	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	1424	2020
Maximum-margin matrix factorization N Srebro, J Rennie, T Jaakkola Advances in neural information processing systems 17, 2004	1385	2004
Convergence of stochastic iterative dynamic programming algorithms T Jaakkola, M Jordan, S Singh Advances in neural information processing systems 6, 1993	1256	1993
Junction tree variational autoencoder for molecular graph generation W Jin, R Barzilay, T Jaakkola International conference on machine learning, 2323-2332, 2018	1249	2018
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	1047	2019
Weighted low-rank approximations N Srebro, T Jaakkola Proceedings of the 20th international conference on machine learning (ICML …, 2003	1007	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	950	2000
Variational message passing. J Winn, CM Bishop, T Jaakkola Journal of Machine Learning Research 6 (4), 2005	897	2005
Towards robust interpretability with self-explaining neural networks D Alvarez Melis, T Jaakkola Advances in neural information processing systems 31, 2018	853	2018
Rationalizing neural predictions T Lei, R Barzilay, T Jaakkola arXiv preprint arXiv:1606.04155, 2016	852	2016
Partially labeled classification with Markov random walks M Szummer, T Jaakkola Advances in neural information processing systems 14, 2001	831	2001
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	827	2001
Approximate inference in additive factorial hmms with application to energy disaggregation JZ Kolter, T Jaakkola Artificial intelligence and statistics, 1472-1482, 2012	820	2012
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	806	2017
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	802	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	784	2003
Bayesian parameter estimation via variational methods TS Jaakkola, MI Jordan Statistics and Computing 10, 25-37, 2000	761	2000
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Learning in graphical models, 105-161, 1998	745	1998

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