Ryan P. Adams - Concepedia

Author

Ryan P. Adams

Also Known As

Adams, RP, Adams, Ryan, Adams, Ryan P, Adams, Ryan P., Adams, Ryan Prescott, Adams, Ryan; Steiert, Douglas Jeffrey, Larochelle, Hugo, Ryan Adams, Ryan P Adams, Ryan P. Adams

212

Publications

28.6K

Citations

H-Index

204

Concepts

All Affiliations

Harvard University Harvard University Press Princeton University University of Toronto University of Cambridge

About

Ryan P. Adams is an author at Harvard University specializing in engineering, data science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	46	77	16.9K
2	Medicine	9	9	1.2K
3	Management	6	6	1.4K
4	Business	3	3	276
5	Health Sciences	2	2	81

Ryan P. Adams

114

Publications

22.7K

Citations

H-Index

Page 1

	Year	Citations
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek, Hugo Larochelle, Ryan P. Adams arXiv (Cornell University) Artificial IntelligenceModel OptimizationHyperparameter EstimationEngineeringMachine Learning	2012	5.6K
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules. Rafael Gómez‐Bombarelli, Jennifer N. Wei, David Duvenaud, Apollo (University of Cambridge)	2018	2K
Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach Rafael Gómez‐Bombarelli, Jorge Aguilera‐Iparraguirre, Timothy Hirzel, Nature Materials Organic Charge-transfer CompoundWhite OledChemical EngineeringEngineeringPhotochemistry	2016	1.1K
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek, Hugo Larochelle, Ryan P. Adams Digital Access to Scholarship at Harvard (DASH) (Harvard University)	2012	989
Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010) Ryan P. Adams, George E. Dahl, Iain Murray Artificial IntelligenceUncertain DatabasesUncertainty (Quantum Physics)Uncertainty ManagementEngineering	2010	933
Bayesian reaction optimization as a tool for chemical synthesis Benjamin J. Shields, Jason M. Stevens, Jun Li, Nature Process DesignEngineeringBayesian OptimizationReaction ProcessBayesian Reaction Optimization	2021	919
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud, Dougal Maclaurin, Jorge Aguilera‐Iparraguirre, arXiv (Cornell University) Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningMolecular Biology	2015	905
Mapping Sub-Second Structure in Mouse Behavior Alexander B. Wiltschko, Matthew J. Johnson, Giuliano Iurilli, Neuron Neural MechanismComputational NeuroscienceNeuroanatomyMouse BehaviorNeuroscience	2015	820
Bayesian Online Changepoint Detection Ryan P. Adams, David Mackay ArXiv.org Bayesian StatisticsEngineeringMachine LearningData ScienceData Mining	2007	599
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato, Ryan P. Adams arXiv (Cornell University) Artificial IntelligenceHyperparameter EstimationEngineeringMachine LearningData Science	2015	561

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