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Neural Networks : the Official Journal of the International Neural Network Society|May 25, 2019
The capacity of feedforward neural networksPierre Baldi, Roman VershyninNeural Networks : the Official Journal of the International Neural Network Society|October 5, 2021
A theory of capacity and sparse neural encodingPierre Baldi, Roman VershyninProbability Theory and Related Fields|May 28, 2024
Private measures, random walks, and synthetic dataMarch Boedihardjo, Thomas Strohmer, Roman VershyninProceedings of the American Mathematical Society. American Mathematical Society|August 6, 2025
COVARIANCE LOSS, SZEMEREDI REGULARITY, AND DIFFERENTIAL PRIVACYMarch Boedihardjo, Thomas Strohmer, Roman VershyninJournal of Chemical Information and Modeling|November 10, 2021
Call for a Public Open Database of All Chemical ReactionsPierre BaldiJournal of Chemical Information and Modeling|November 24, 2011
Data-driven high-throughput prediction of the 3-D structure of small molecules: review and progress. A response to the letter by the Cambridge Crystallographic Data CentrePierre BaldiNeural Networks : the Official Journal of the International Neural Network Society|April 19, 2008
Learning to play Go using recursive neural networksLin Wu, Pierre BaldiJournal of Chemical Information and Modeling|June 15, 2010
When is chemical similarity significant? The statistical distribution of chemical similarity scores and its extreme valuesPierre Baldi, Ramzi NasrBioinformatics (Oxford, England)|June 18, 2005
Three-stage prediction of protein beta-sheets by neural networks, alignments and graph algorithmsJianlin Cheng, Pierre BaldiJournal of Chemical Information and Modeling|November 23, 2013
Small-molecule 3D structure prediction using open crystallography dataPeter Sadowski, Pierre BaldiPageof 26