Tommi Jaakkola

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

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Tommi Jaakkola

Andre navnTommi S. Jaakkola

MIT

Verifisert e-postadresse på csail.mit.edu - Startside

machine learning natural language processing biomolecular design


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	4809	1999
Exploiting generative models in discriminative classifiers T Jaakkola, D Haussler Advances in neural information processing systems 11, 1998	2092	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	2014	2020
Junction tree variational autoencoder for molecular graph generation W Jin, R Barzilay, T Jaakkola International conference on machine learning, 2323-2332, 2018	1665	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	1492	2019
Maximum-margin matrix factorization N Srebro, J Rennie, T Jaakkola Advances in neural information processing systems 17, 2004	1428	2004
Convergence of stochastic iterative dynamic programming algorithms T Jaakkola, M Jordan, S Singh Advances in neural information processing systems 6, 1993	1373	1993
Towards robust interpretability with self-explaining neural networks D Alvarez Melis, T Jaakkola Advances in neural information processing systems 31, 2018	1119	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	1042	2000
Weighted low-rank approximations N Srebro, T Jaakkola Proceedings of the 20th international conference on machine learning (ICML …, 2003	1039	2003
Rationalizing neural predictions T Lei, R Barzilay, T Jaakkola arXiv preprint arXiv:1606.04155, 2016	969	2016
Variational message passing. J Winn, CM Bishop, T Jaakkola Journal of Machine Learning Research 6 (4), 2005	955	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	907	2017
Approximate inference in additive factorial hmms with application to energy disaggregation JZ Kolter, T Jaakkola Artificial intelligence and statistics, 1472-1482, 2012	860	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	849	2001
Partially labeled classification with Markov random walks M Szummer, T Jaakkola Advances in neural information processing systems 14, 2001	840	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	819	2005
Bayesian parameter estimation via variational methods TS Jaakkola, MI Jordan Statistics and Computing 10, 25-37, 2000	807	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	804	2003
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Learning in graphical models, 105-161, 1998	767	1998

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