Jeffrey A. Bilmes
Jeffrey A. Bilmes
Professor of Electrical & Computer Engineering & Computer Science, University of Washington Seattle
Verified email at - Homepage
Cited by
Cited by
An integrated encyclopedia of DNA elements in the human genome
ENCODE Project Consortium
Nature 489 (7414), 57, 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
Deep canonical correlation analysis
G Andrew, R Arora, J Bilmes, K Livescu
International conference on machine learning, 1247-1255, 2013
On deep multi-view representation learning
W Wang, R Arora, K Livescu, J Bilmes
International conference on machine learning, 1083-1092, 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
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
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
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
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
Multi-document summarization via budgeted maximization of submodular functions
H Lin, J Bilmes
Human Language Technologies: The 2010 Annual Conference of the North …, 2010
Submodularity in data subset selection and active learning
K Wei, R Iyer, J Bilmes
International conference on machine learning, 1954-1963, 2015
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
What HMMs can do
JA Bilmes
IEICE TRANSACTIONS on Information and Systems 89 (3), 869-891, 2006
Submodular optimization with submodular cover and submodular knapsack constraints
RK Iyer, JA Bilmes
Advances in neural information processing systems 26, 2013
Coresets for data-efficient training of machine learning models
B Mirzasoleiman, J Bilmes, J Leskovec
International Conference on Machine Learning, 6950-6960, 2020
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
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
MVA processing of speech features
CP Chen, JA Bilmes
IEEE Transactions on Audio, Speech, and Language Processing 15 (1), 257-270, 2006
Submodularity beyond submodular energies: coupling edges in graph cuts
S Jegelka, J Bilmes
CVPR 2011, 1897-1904, 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
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