David Duvenaud - Concepedia

Author

David Duvenaud

University of Toronto

Also Known As

Campbell, Kieran, David Duvenaud, Duvenaud, David, Duvenaud, David K., Haibe-Kains, Benjamin, Hamilton, William L.

113

Publications

10.8K

Citations

H-Index

137

Concepts

All Affiliations

University of Toronto Harvard University Press University of Cambridge Massachusetts Institute of Technology Google (United States)

About

David Duvenaud is an author at University of Toronto specializing in engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	37	59	7.1K
2	Management	5	5	267
3	Language Studies	3	3	100
4	Medicine	3	3	1K
5	Natural Sciences	2	2	25

David Duvenaud

Publications

9.9K

Citations

H-Index

Page 1

	Year	Citations
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
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
Neural Ordinary Differential Equations Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningNeural NetworkRecurrent Neural Network	2018	566
Gradient-based Hyperparameter Optimization through Reversible Learning Dougal Maclaurin, David Duvenaud, Ryan P. Adams arXiv (Cornell University) Artificial IntelligenceDerivatives BackwardsModel OptimizationHyperparameter EstimationEngineering	2015	403
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative\n Models Will Grathwohl, Ricky T. Q. Chen, Jesse Bettencourt, arXiv (Cornell University)	2018	318
Structure Discovery in Nonparametric Regression through Compositional Kernel Search David Duvenaud, James Robert Lloyd, Roger Grosse, arXiv (Cornell University) Structure Search MethodBase KernelsEngineeringMachine LearningData Science	2013	273
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series Yulia Rubanova, Ricky T. Q. Chen, David Duvenaud Neural Information Processing Systems EngineeringMachine LearningData ScienceRecognition NetworkPhysic Aware Machine Learning	2019	251
Composing graphical models with neural networks for structured representations and fast inference Matthew Johnson, David Duvenaud, Alexander B. Wiltschko, arXiv (Cornell University) Artificial IntelligenceStructured PredictionGeometric LearningEngineeringMachine Learning	2016	232
Additive Gaussian Processes David Duvenaud, Hannes Nickisch, Carl Edward Rasmussen arXiv (Cornell University) Additive FunctionEngineeringMachine LearningData SciencePredictive Analytics	2011	203

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