Jeffrey A. Bilmes - Google Scholar Citations

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William Stafford NobleProfessor of Genome Sciences, University of WashingtonVerified email at uw.edu
Katrin KirchhoffAmazonVerified email at amazon.com
Rishabh IyerAssistant Professor, University of Texas DallasVerified email at utdallas.edu
Hui LinChief Scientist of LAIX; former Research Scientist at GoogleVerified email at google.com
Amarnag SubramanyaSenior Research Scientist, Google ResearchVerified email at google.com
Stefanie JegelkaMITVerified email at mit.edu
Michael M. HoffmanScientist, Princess Margaret Cancer Centre/Assistant Professor, University of TorontoVerified email at utoronto.ca
Karen LivescuTTI-ChicagoVerified email at ttic.edu
Kai WeiGraduate student of Electrical Engineering, University of WashingtonVerified email at uw.edu
Maxwell W LibbrechtAssistant Professor, Computing Science, Simon Fraser UniversityVerified email at sfu.ca
James LandayProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Krste AsanovicUC BerkeleyVerified email at berkeley.edu
Tanzeem ChoudhuryProfessor, Computing and Information Science, Cornell TechVerified email at cornell.edu
Danny WyattGoogleVerified email at google.com
Yuzong LiuAmazonVerified email at amazon.com
Nelson MorganICSIVerified email at icsi.berkeley.edu
Dieter FoxProfessor of Computer Science and Engineering, University of Washington, and Nvidia ResearchVerified email at cs.washington.edu
Franz PernkopfGraz University of TechnologyVerified email at tugraz.at
Matthew RichardsonMicrosoft ResearchVerified email at microsoft.com
Kevin DuhJohns Hopkins UniversityVerified email at cs.jhu.edu

Jeffrey A. Bilmes

Professor of Electrical Engineering and Computer Science, University of Washington Seattle

Verified email at uw.edu - Homepage

machine learning and artificial intelligence combinatorial optimization speech and langauge processing bioinformatics high p


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An integrated encyclopedia of DNA elements in the human genome ENCODE Project Consortium Nature 489 (7414), 57-74, 2012	9868*	2012
A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models JA Bilmes International Computer Science Institute 4 (510), 126, 1998	3288	1998
Deep canonical correlation analysis G Andrew, R Arora, J Bilmes, K Livescu International conference on machine learning, 1247-1255, 2013	843	2013
Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology J Bilmes, K Asanovic, CW Chin, J Demmel ACM International Conference on Supercomputing 25th Anniversary Volume, 253-260, 1997	705	1997
A class of submodular functions for document summarization H Lin, J Bilmes Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011	529	2011
Unsupervised pattern discovery in human chromatin structure through genomic segmentation MM Hoffman, OJ Buske, J Wang, Z Weng, JA Bilmes, WS Noble Nature methods 9 (5), 473, 2012	471	2012
Integrative annotation of chromatin elements from ENCODE data MM Hoffman, J Ernst, SP Wilder, A Kundaje, RS Harris, M Libbrecht, ... Nucleic acids research 41 (2), 827-841, 2013	423	2013
On deep multi-view representation learning W Wang, R Arora, K Livescu, J Bilmes International Conference on Machine Learning, 1083-1092, 2015	385	2015
Factored language models and generalized parallel backoff JA Bilmes, K Kirchhoff Proceedings of the 2003 Conference of the North American Chapter of the …, 2003	365	2003
Multi-document summarization via budgeted maximization of submodular functions H Lin, J Bilmes Human Language Technologies: The 2010 Annual Conference of the North …, 2010	313	2010
What HMMs can do JA Bilmes IEICE TRANSACTIONS on Information and Systems 89 (3), 869-891, 2006	276	2006
MVA processing of speech features CP Chen, JA Bilmes IEEE Transactions on Audio, Speech, and Language Processing 15 (1), 257-270, 2006	260	2006
The graphical models toolkit: An open source software system for speech and time-series processing J Bilmes, G Zweig 2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002	256	2002
Transmembrane topology and signal peptide prediction using dynamic bayesian networks SM Reynolds, L Käll, ME Riffle, JA Bilmes, WS Noble PLoS computational biology 4 (11), 2008	207	2008
Dynamic bayesian multinets JA Bilmes arXiv preprint arXiv:1301.3837, 2013	189	2013
Submodularity beyond submodular energies: coupling edges in graph cuts S Jegelka, J Bilmes CVPR 2011, 1897-1904, 2011	176	2011
Timing is of the Essence: Perceptual and Computational Techniques for Representing, Learning, and Reproducing Expressive Timing in Percussive Rhythm JA Bilmes MASSACHUSETTS INSTITUTE OF TECHNOLOGY, 1993	176	1993
Submodular optimization with submodular cover and submodular knapsack constraints RK Iyer, JA Bilmes Advances in Neural Information Processing Systems, 2436-2444, 2013	162	2013
Graphical model architectures for speech recognition JA Bilmes, C Bartels IEEE signal processing magazine 22 (5), 89-100, 2005	159	2005
A submodular-supermodular procedure with applications to discriminative structure learning M Narasimhan, JA Bilmes arXiv preprint arXiv:1207.1404, 2012	146	2012

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