Tommi Jaakkola

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Regina BarzilayProfessor of EECS, MITVerified email at csail.mit.edu
Wengong JinNortheastern UniversityVerified 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-MelisHarvard University & Microsoft ResearchVerified email at seas.harvard.edu
Lawrence K. SaulSenior Research Scientist, Flatiron InstituteVerified email at flatironinstitute.org
Connor W. ColeyMassachusetts Institute of TechnologyVerified email at mit.edu
Alan S. WillskyProfessor of EECS, MITVerified email at mit.edu
Amir GlobersonTel Aviv UniversityVerified email at post.tau.ac.il
William H. GreenHoyt C. Hottel Professor of Chemical Engineering, MITVerified email at mit.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Martin WainwrightProfessor, EECS/Mathematics, Massachusetts Institute of TechnologyVerified email at mit.edu
Gabriele CorsoPhD Student, MITVerified email at mit.edu
Tao LeiGoogleVerified email at google.com
Bowen JingMassachusetts Institute of TechnologyVerified email at mit.edu
David SontagProfessor, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Kyle SwansonStanford UniversityVerified email at stanford.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

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	4856	1999
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	2100	2020
Exploiting generative models in discriminative classifiers T Jaakkola, D Haussler Advances in neural information processing systems 11, 1998	2097	1998
Junction tree variational autoencoder for molecular graph generation W Jin, R Barzilay, T Jaakkola International conference on machine learning, 2323-2332, 2018	1727	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	1561	2019
Maximum-margin matrix factorization N Srebro, J Rennie, T Jaakkola Advances in neural information processing systems 17, 2004	1433	2004
Convergence of stochastic iterative dynamic programming algorithms T Jaakkola, M Jordan, S Singh Advances in neural information processing systems 6, 1993	1385	1993
Towards robust interpretability with self-explaining neural networks D Alvarez Melis, T Jaakkola Advances in neural information processing systems 31, 2018	1157	2018
Weighted low-rank approximations N Srebro, T Jaakkola Proceedings of the 20th international conference on machine learning (ICML …, 2003	1052	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	1052	2000
Rationalizing neural predictions T Lei, R Barzilay, T Jaakkola arXiv preprint arXiv:1606.04155, 2016	983	2016
Variational message passing. J Winn, CM Bishop, T Jaakkola Journal of Machine Learning Research 6 (4), 2005	961	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	916	2017
Approximate inference in additive factorial hmms with application to energy disaggregation JZ Kolter, T Jaakkola Artificial intelligence and statistics, 1472-1482, 2012	874	2012
De novo design of protein structure and function with RFdiffusion JL Watson, D Juergens, NR Bennett, BL Trippe, J Yim, HE Eisenach, ... Nature 620 (7976), 1089-1100, 2023	852	2023
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	850	2001
Partially labeled classification with Markov random walks M Szummer, T Jaakkola Advances in neural information processing systems 14, 2001	845	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	818	2005
Bayesian parameter estimation via variational methods TS Jaakkola, MI Jordan Statistics and Computing 10, 25-37, 2000	813	2000
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	808	2003

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