Regina Barzilay - Concepedia

Author

Regina Barzilay

Also Known As

Barzilay, R., Barzilay, Regina, Brian K. Coombes, Coley, Connor W., Jaakkola, Tommi, Jacob Silterra, R Barzilay, R. Barzilay, Regina Barzilay, Sigelman, Sergey

390

Publications

31.8K

Citations

H-Index

271

Concepts

All Affiliations

Massachusetts Institute of Technology Massachusetts General Hospital Harvard University Columbia University

About

Regina Barzilay is an author at Massachusetts Institute of Technology specializing in engineering, natural language processing, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	64	130	17.2K
2	Arts	8	8	604
3	Health Sciences	5	5	823
4	Business	2	2	175
5	Education	1	1	45

Regina Barzilay

220

Publications

30.1K

Citations

H-Index

Page 1

	Year	Citations
A Deep Learning Approach to Antibiotic Discovery Jonathan Stokes, Kevin Yang, Kyle Swanson, Cell Antimicrobial Drug DiscoveryAntimicrobial SusceptibilityAntibioticsDeep Learning ApproachMicrobiology	2020	2K
Analyzing Learned Molecular Representations for Property Prediction Kevin Yang, Kyle Swanson, Wengong Jin, Journal of Chemical Information and Modeling Geometric LearningEngineeringMachine LearningComputational ChemistryGraph Processing	2019	1.6K
De novo design of protein structure and function with RFdiffusion Joseph L. Watson, David Juergens, Nathaniel R. Bennett, Nature	2023	1.6K
Using lexical chains for text summarization Regina Barzilay, Michael Elhadad Columbia Academic Commons (Columbia University) EngineeringEntity SummarizationQuality Indicative SummariesSemanticsLexical Chains	1997	869
Prediction of Organic Reaction Outcomes Using Machine Learning Connor W. Coley, Regina Barzilay, Tommi Jaakkola, ACS Central Science Artificial IntelligenceSequence ModellingEngineeringMachine LearningData Science	2017	774
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin, Regina Barzilay, Tommi Jaakkola arXiv (Cornell University) Graph Neural NetworkEngineeringGraph TheoryMolecular PropertyComputational Biology	2018	708
A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction Adam Yala, Constance D. Lehman, Tal Schuster, Radiology	2019	694
A graph-convolutional neural network model for the prediction of chemical reactivity Connor W. Coley, Wengong Jin, Luke Rogers, Chemical Science	2018	678
Modeling Local Coherence: An Entity-Based Approach Regina Barzilay, Mirella Lapata Computational Linguistics EngineeringEntity SummarizationSemanticsSemantic WebText Mining	2008	673
Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction Connor W. Coley, Regina Barzilay, William H. Green, Journal of Chemical Information and Modeling Expressive Molecular RepresentationGeometric LearningConvolutional Neural NetworkEngineeringMachine Learning	2017	500

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