Regina Barzilay
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Computational Drug Discovery Methods, Machine Learning in Materials Science, Advanced Text Analysis Techniques
Most-Cited Works
- → A Deep Learning Approach to Antibiotic Discovery(2020)2,067 cited
- → De novo design of protein structure and function with RFdiffusion(2023)1,689 cited
- → Analyzing Learned Molecular Representations for Property Prediction(2019)1,673 cited
- → Using lexical chains for text summarization(1997)869 cited
- → Prediction of Organic Reaction Outcomes Using Machine Learning(2017)799 cited
- → Junction Tree Variational Autoencoder for Molecular Graph Generation(2018)711 cited
- → A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction(2019)701 cited
- → A graph-convolutional neural network model for the prediction of chemical reactivity(2018)687 cited
- → Modeling Local Coherence: An Entity-Based Approach(2008)675 cited
- → Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction(2017)507 cited