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Regina Barzilay
Regina Barzilay
Professor of EECS, MIT
Verified email at csail.mit.edu - Homepage
Title
Cited by
Cited by
Year
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
17422020
Using lexical chains for text summarization
R Barzilay, M Elhadad
16431997
Junction tree variational autoencoder for molecular graph generation
W Jin, R Barzilay, T Jaakkola
International conference on machine learning, 2323-2332, 2018
14842018
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
12922019
Modeling local coherence: An entity-based approach
R Barzilay, M Lapata
Computational Linguistics 34 (1), 1-34, 2008
9552008
Rationalizing neural predictions
T Lei, R Barzilay, T Jaakkola
arXiv preprint arXiv:1606.04155, 2016
9202016
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
8612017
Extracting paraphrases from a parallel corpus
R Barzilay, K McKeown
Proceedings of the 39th annual meeting of the Association for Computational …, 2001
6862001
Prediction of organic reaction outcomes using machine learning
CW Coley, R Barzilay, TS Jaakkola, WH Green, KF Jensen
ACS central science 3 (5), 434-443, 2017
6852017
A graph-convolutional neural network model for the prediction of chemical reactivity
CW Coley, W Jin, L Rogers, TF Jamison, TS Jaakkola, WH Green, ...
Chemical science 10 (2), 370-377, 2019
6402019
Learning to paraphrase: An unsupervised approach using multiple-sequence alignment
R Barzilay, L Lee
arXiv preprint cs/0304006, 2003
6392003
A deep learning mammography-based model for improved breast cancer risk prediction
A Yala, C Lehman, T Schuster, T Portnoi, R Barzilay
Radiology 292 (1), 60-66, 2019
6092019
Information fusion in the context of multi-document summarization
R Barzilay, K McKeown, M Elhadad
Proceedings of the 37th annual meeting of the Association for Computational …, 1999
5791999
Sentence fusion for multidocument news summarization
R Barzilay, KR McKeown
Computational Linguistics 31 (3), 297-328, 2005
5742005
Catching the drift: Probabilistic content models, with applications to generation and summarization
R Barzilay, L Lee
arXiv preprint cs/0405039, 2004
4822004
Inferring strategies for sentence ordering in multidocument news summarization
R Barzilay, N Elhadad
Journal of Artificial Intelligence Research 17, 35-55, 2002
4722002
Language understanding for text-based games using deep reinforcement learning
K Narasimhan, T Kulkarni, R Barzilay
arXiv preprint arXiv:1506.08941, 2015
4692015
Generative models for graph-based protein design
J Ingraham, V Garg, R Barzilay, T Jaakkola
Advances in neural information processing systems 32, 2019
4682019
Multiple aspect ranking using the good grief algorithm
B Snyder, R Barzilay
Human Language Technologies 2007: The Conference of the North American …, 2007
4622007
Convolutional embedding of attributed molecular graphs for physical property prediction
CW Coley, R Barzilay, WH Green, TS Jaakkola, KF Jensen
Journal of chemical information and modeling 57 (8), 1757-1772, 2017
4372017
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