Jeffrey A. Bilmes

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William Stafford NobleProfessor of Genome Sciences, University of WashingtonVerified email at uw.edu
Katrin KirchhoffAmazonVerified email at amazon.com
Rishabh IyerUniversity of Texas Dallas, Microsoft, UWVerified 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
Karen LivescuTTI-ChicagoVerified email at ttic.edu
Kai WeiGraduate student of Electrical Engineering, University of WashingtonVerified email at uw.edu
Michael M. HoffmanChair and Senior Scientist, University Health Network/Associate Professor, University of TorontoVerified email at utoronto.ca
Stefanie JegelkaMITVerified email at mit.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
Yuzong LiuAmazonVerified email at amazon.com
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
Dieter FoxUniversity of Washington and NVIDIAVerified email at cs.washington.edu
Nelson MorganICSIVerified email at icsi.berkeley.edu
Richard VuducGeorgia Institute of TechnologyVerified email at cc.gatech.edu
Franz PernkopfGraz University of TechnologyVerified email at tugraz.at
Matthew RichardsonMicrosoft ResearchVerified email at microsoft.com

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, 2012	13380	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	3874	1998
Deep canonical correlation analysis G Andrew, R Arora, J Bilmes, K Livescu International conference on machine learning, 1247-1255, 2013	2037	2013
On deep multi-view representation learning W Wang, R Arora, K Livescu, J Bilmes International conference on machine learning, 1083-1092, 2015	980	2015
A class of submodular functions for document summarization H Lin, J Bilmes Proceedings of the 49th annual meeting of the association for computational …, 2011	895	2011
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	794	1997
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), 473-476, 2012	694	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	586	2013
Multi-document summarization via budgeted maximization of submodular functions H Lin, J Bilmes Human Language Technologies: The 2010 Annual Conference of the North …, 2010	502	2010
On mixup training: Improved calibration and predictive uncertainty for deep neural networks S Thulasidasan, G Chennupati, JA Bilmes, T Bhattacharya, S Michalak Advances in Neural Information Processing Systems 32, 2019	433	2019
Factored language models and generalized parallel backoff J Bilmes, K Kirchhoff Companion Volume of the Proceedings of HLT-NAACL 2003-Short Papers, 4-6, 2003	394	2003
Submodularity in data subset selection and active learning K Wei, R Iyer, J Bilmes International conference on machine learning, 1954-1963, 2015	391	2015
What HMMs can do JA Bilmes IEICE TRANSACTIONS on Information and Systems 89 (3), 869-891, 2006	336	2006
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), e1000213, 2008	282	2008
Submodular optimization with submodular cover and submodular knapsack constraints RK Iyer, JA Bilmes Advances in neural information processing systems 26, 2013	279	2013
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	272	2002
MVA processing of speech features CP Chen, JA Bilmes IEEE Transactions on Audio, Speech, and Language Processing 15 (1), 257-270, 2006	264	2006
Submodularity beyond submodular energies: coupling edges in graph cuts S Jegelka, J Bilmes CVPR 2011, 1897-1904, 2011	230	2011
Learning mixtures of submodular functions for image collection summarization S Tschiatschek, RK Iyer, H Wei, JA Bilmes Advances in neural information processing systems 27, 2014	219	2014
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	206	1993

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