Sotabase

Career

· Delta Electronics Professor of Electrical Engineering and Computer Science, Massachusetts Institute of Technology2016–
· School of Engineering Distinguished Professor for AI and Health, Massachusetts Institute of Technology2016–
· PhD in Computer Science, Columbia University2003–
· Postdoctoral Researcher, Cornell University2003–2004
· MSc, Ben-Gurion University of the Negev1998–
· Bachelor of Science, Ben-Gurion University of the Negev1993–
· BSc, Ben-Gurion University of the Negev1993–
· Master of Science, Ben-Gurion University of the Negev1993–1998

Publications (301)

Junction Tree Variational Autoencoder for Molecular Graph Generation
International Conference on Machine Learning · 2018
1,551
cited
Analyzing Learned Molecular Representations for Property Prediction
Journal of Chemical Information and Modeling · 2019
1,548
cited
A Deep Learning Approach to Antibiotic Discovery
Cell · 2020
1,175
cited
Using Lexical Chains for Text Summarization
1997
1,166
cited
Rationalizing Neural Predictions
Conference on Empirical Methods in Natural Language Processing · 2016
856
cited
Modeling Local Coherence: An Entity-Based Approach
Annual Meeting of the Association for Computational Linguistics · 2005
851
cited
Style Transfer from Non-Parallel Text by Cross-Alignment
Neural Information Processing Systems · 2017
809
cited
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
International Conference on Learning Representations · 2022
650
cited
Prediction of Organic Reaction Outcomes Using Machine Learning
ACS Central Science · 2017
613
cited
Generative Models for Graph-Based Protein Design
DGS@ICLR · 2019
583
cited
A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction.
Radiology · 2019
573
cited
Extracting Paraphrases from a Parallel Corpus
Annual Meeting of the Association for Computational Linguistics · 2001
554
cited
Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment
North American Chapter of the Association for Computational Linguistics · 2003
530
cited
A graph-convolutional neural network model for the prediction of chemical reactivity
Chemical Science · 2018
495
cited
Information Fusion in the Context of Multi-Document Summarization
Annual Meeting of the Association for Computational Linguistics · 1999
487
cited
Sentence Fusion for Multidocument News Summarization
International Conference on Computational Logic · 2005
475
cited
Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction
Journal of Chemical Information and Modeling · 2017
428
cited
Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
North American Chapter of the Association for Computational Linguistics · 2004
417
cited
Learning to Automatically Solve Algebra Word Problems
Annual Meeting of the Association for Computational Linguistics · 2014
391
cited
Inferring Strategies for Sentence Ordering in Multidocument News Summarization
Journal of Artificial Intelligence Research · 2002
380
cited
Sotabase
Regina Barzilay | Researcher Profile | Sotabase | Sotabase