Yarin Gal - Concepedia

Author

Yarin Gal

Also Known As

Dean, Jeff, Foerster, Jakob Nicolaus, Gal, Y, Gal, Yarin, Ghahramani, Z, Rainforth, Tom, Sankaranarayanan, Aruna, Stier, Philip, Y Le Gal, Y. Gal

325

Publications

25.9K

Citations

H-Index

213

Concepts

All Affiliations

University of Oxford University of Cambridge Harvard University Imperial College London Oxford Research Group

About

Yarin Gal is an author at University of Oxford specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	42	85	15.9K
2	Language Studies	4	4	1.8K
3	Education	3	3	376
4	Arts	1	1	19
5	Health Sciences	1	1	33

Yarin Gal

120

Publications

24.9K

Citations

H-Index

Page 1

	Year	Citations
Dropout as a Bayesian Approximation: Representing Model Uncertainty in\n Deep Learning Yarin Gal, Zoubin Ghahramani arXiv (Cornell University)	2015	4.1K
Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Roberto Cipolla, Yarin Gal, Alex Kendall Artificial IntelligenceConvolutional Neural NetworkMultiple Instance LearningEngineeringMachine Learning	2018	2.7K
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Yarin Gal, Zoubin Ghahramani arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningAi FoundationUncertainty Formalism	2015	2.6K
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall, Yarin Gal arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningDepth MapUncertain Data	2017	2.5K
Inferring the effectiveness of government interventions against COVID-19 Jan Brauner, Sören Mindermann, Mrinank Sharma, Science	2020	1.1K
A theoretically grounded application of dropout in recurrent neural networks Yarin Gal, Zoubin Ghahramani Oxford University Research Archive (ORA) (University of Oxford) Structured PredictionGrounded ApplicationMachine LearningEngineeringSequential Learning	2016	911
Disease variant prediction with deep generative models of evolutionary data Jonathan Frazer, Pascal Notin, Mafalda Dias, Nature Disease Variant PredictionGeneticsMedicineComputational BiologyGenerative Model	2021	786
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Yarin Gal, Zoubin Ghahramani arXiv (Cornell University) Structured PredictionGrounded ApplicationMachine LearningEngineeringSequential Learning	2015	782
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Yarin Gal, Zoubin Ghahramani arXiv (Cornell University) Few-shot LearningData AugmentationConvolutional Neural NetworkEngineeringMachine Learning	2015	614
Deep Bayesian Active Learning with Image Data Yarin Gal, Riashat Islam, Zoubin Ghahramani arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningMachine Learning ToolBayesian Inference	2017	576

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