Tommi Jaakkola

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Regina BarzilayProfessor of EECS, MITAdresse e-mail validée de csail.mit.edu
Wengong JinNortheastern UniversityAdresse e-mail validée de csail.mit.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Klavs F.JensenChemical Engineering, MITAdresse e-mail validée de mit.edu
Nathan SrebroProfessor, TTIC and University of ChicagoAdresse e-mail validée de ttic.edu
David Alvarez-MelisHarvard University & Microsoft ResearchAdresse e-mail validée de seas.harvard.edu
Lawrence K. SaulSenior Research Scientist, Flatiron InstituteAdresse e-mail validée de flatironinstitute.org
Connor W. ColeyMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Alan S. WillskyProfessor of EECS, MITAdresse e-mail validée de mit.edu
Amir GlobersonTel Aviv UniversityAdresse e-mail validée de post.tau.ac.il
William H. GreenHoyt C. Hottel Professor of Chemical Engineering, MITAdresse e-mail validée de mit.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleAdresse e-mail validée de eng.cam.ac.uk
Martin WainwrightProfessor, EECS/Mathematics, Massachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Gabriele CorsoPhD Student, MITAdresse e-mail validée de mit.edu
Bowen JingMassachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Tao LeiGoogleAdresse e-mail validée de google.com
David SontagProfessor, Massachusetts Institute of TechnologyAdresse e-mail validée de csail.mit.edu
Kyle SwansonStanford UniversityAdresse e-mail validée de stanford.edu
Ziv Bar-JosephProfessor of Computational Biology and Machine Learning, School of Computer Science, Carnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Richard YoungProfessor of Biology, MITAdresse e-mail validée de wi.mit.edu

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Tommi Jaakkola

Autres nomsTommi S. Jaakkola

MIT

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

machine learning natural language processing biomolecular design


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	4876	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	2141	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	1737	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	1594	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	1392	1993
Towards robust interpretability with self-explaining neural networks D Alvarez Melis, T Jaakkola Advances in neural information processing systems 31, 2018	1171	2018
Convergence results for single-step on-policy reinforcement-learning algorithms S Singh, T Jaakkola, ML Littman, C Szepesvári Machine learning 38, 287-308, 2000	1053	2000
Weighted low-rank approximations N Srebro, T Jaakkola Proceedings of the 20th international conference on machine learning (ICML …, 2003	1052	2003
Rationalizing neural predictions T Lei, R Barzilay, T Jaakkola arXiv preprint arXiv:1606.04155, 2016	996	2016
Variational message passing. J Winn, CM Bishop, T Jaakkola Journal of Machine Learning Research 6 (4), 2005	964	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	922	2017
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	914	2023
Approximate inference in additive factorial hmms with application to energy disaggregation JZ Kolter, T Jaakkola Artificial intelligence and statistics, 1472-1482, 2012	880	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	851	2001
Partially labeled classification with Markov random walks M Szummer, T Jaakkola Advances in neural information processing systems 14, 2001	849	2001
Bayesian parameter estimation via variational methods TS Jaakkola, MI Jordan Statistics and Computing 10, 25-37, 2000	819	2000
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
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	809	2003

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