Tommi Jaakkola

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

Stebėti

Tommi Jaakkola

Kiti vardaiTommi S. Jaakkola

MIT

Patvirtintas el. paštas csail.mit.edu - Pagrindinis puslapis

machine learning natural language processing biomolecular design


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37, 183-233, 1999	4820	1999
Exploiting generative models in discriminative classifiers T Jaakkola, D Haussler Advances in neural information processing systems 11, 1998	2095	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	2034	2020
Junction tree variational autoencoder for molecular graph generation W Jin, R Barzilay, T Jaakkola International conference on machine learning, 2323-2332, 2018	1680	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	1513	2019
Maximum-margin matrix factorization N Srebro, J Rennie, T Jaakkola Advances in neural information processing systems 17, 2004	1429	2004
Convergence of stochastic iterative dynamic programming algorithms T Jaakkola, M Jordan, S Singh Advances in neural information processing systems 6, 1993	1374	1993
Towards robust interpretability with self-explaining neural networks D Alvarez Melis, T Jaakkola Advances in neural information processing systems 31, 2018	1124	2018
Weighted low-rank approximations N Srebro, T Jaakkola Proceedings of the 20th international conference on machine learning (ICML …, 2003	1045	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	1042	2000
Rationalizing neural predictions T Lei, R Barzilay, T Jaakkola arXiv preprint arXiv:1606.04155, 2016	971	2016
Variational message passing. J Winn, CM Bishop, T Jaakkola Journal of Machine Learning Research 6 (4), 2005	956	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	908	2017
Approximate inference in additive factorial hmms with application to energy disaggregation JZ Kolter, T Jaakkola Artificial intelligence and statistics, 1472-1482, 2012	865	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	848	2001
Partially labeled classification with Markov random walks M Szummer, T Jaakkola Advances in neural information processing systems 14, 2001	841	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	808	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	805	2003
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	770	2023

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