Deep diversification of an AAV capsid protein by machine learning
Bryant, Drew H., Bashir, Ali, Sinai, Sam, Jain, Nina K., Ogden, Pierce J., Riley, Patrick F., Church, George M., Colwell, Lucy J., Kelsic, Eric D.
Published in Nature biotechnology (01.06.2021)
Published in Nature biotechnology (01.06.2021)
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Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error
Faber, Felix A, Hutchison, Luke, Huang, Bing, Gilmer, Justin, Schoenholz, Samuel S, Dahl, George E, Vinyals, Oriol, Kearnes, Steven, Riley, Patrick F, von Lilienfeld, O. Anatole
Published in Journal of chemical theory and computation (14.11.2017)
Published in Journal of chemical theory and computation (14.11.2017)
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Coach planning with opponent models for distributed execution
Riley, Patrick F., Veloso, Manuela M.
Published in Autonomous agents and multi-agent systems (01.11.2006)
Published in Autonomous agents and multi-agent systems (01.11.2006)
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NEURAL NETWORK FOR PROCESSING APTAMER DATA
Berndl, Marc, Trippe, Brian, Nelson, Philip Charles, Dimon, Michelle Therese Hoerner, Coram, Marc Adlai, Riley, Patrick F
Year of Publication 04.01.2024
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Year of Publication 04.01.2024
Patent
Neural network for processing aptamer data
Berndl, Marc, Trippe, Brian, Nelson, Philip Charles, Dimon, Michelle Therese Hoerner, Coram, Marc Adlai, Riley, Patrick F
Year of Publication 06.06.2023
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Year of Publication 06.06.2023
Patent
Neural Message Passing for Quantum Chemistry
Gilmer, Justin, Schoenholz, Samuel S, Riley, Patrick F, Vinyals, Oriol, Dahl, George E
Year of Publication 04.04.2017
Year of Publication 04.04.2017
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