Tommi Jaakkola

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

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Tommi Jaakkola

Altri nomiTommi S. Jaakkola

MIT

Email verificata su csail.mit.edu - Home page

machine learning natural language processing biomolecular design


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	2009	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	1488	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	1372	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	766	1998

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