Adrian Weller - Concepedia

Author

Adrian Weller

Also Known As

A Weller, ADRIAN WELLER, Adrian Weller, Barba, Mauricio, Belanger, David, Griffiths, Ryan-Rhys, Love, Bradley, Müller, Mark N., Santara, Anirban, Singh, Sukriti

279

Publications

5.2K

Citations

H-Index

199

Concepts

All Affiliations

University of Cambridge The Alan Turing Institute Max Planck Institute for Software Systems Max Planck Society Google (United States)

About

Adrian Weller is an author at University of Cambridge specializing in engineering, computer science, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	28	52	3K
2	Business	5	5	431
3	Arts	4	4	178
4	Language Studies	4	4	134
5	Education	1	1	15

Adrian Weller

Publications

Citations

H-Index

Page 1

	Year	Citations
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning Rowan McAllister, Yarin Gal, Alex Kendall, Artificial IntelligenceEngineeringMachine LearningSafety ScienceAi Safety	2017	213
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims Miles Brundage, Shahar Avin, Jasmine Wang, Data Archiving and Networked Services (DANS) Artificial IntelligenceEngineeringInformation SecurityVerificationIntelligent Systems	2020	211
Human Perceptions of Fairness in Algorithmic Decision Making Nina Grgić-Hlača, Elissa M. Redmiles, Krishna P. Gummadi, EngineeringBehavioral Decision MakingFairness In Natural Language ProcessingTechnology LawData Science	2018	200
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt, Javier Antorán, Yunfeng Zhang, Artificial IntelligenceEngineeringMachine LearningVerificationUncertain Reasoning	2021	186
Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi, Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceEngineeringMachine LearningBehavioral Decision MakingFeature Selection	2018	182
A Unified Approach to Quantifying Algorithmic Unfairness Till Speicher, Hoda Heidari, Nina Grgić-Hlača, Unfair AlgorithmsEngineeringDiscriminationLawComputational Complexity	2018	178
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning Yarin Gal, Alex Kendall, Mark van der Wilk, Apollo (University of Cambridge) Artificial IntelligenceEngineeringMachine LearningSafety ScienceAi Safety	2017	147
The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi, MPG.PuRe (Max Planck Society)	2016	131
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable\n Claims Miles Brundage, Shahar Avin, Jasmine Wang, arXiv (Cornell University)	2020	124
Rethinking Attention with Performers Krzysztof Choromański, Valerii Likhosherstov, David Dohan, arXiv (Cornell University) Structured PredictionEngineeringMachine LearningFull-rank-attention TransformersMusic Psychology	2020	122

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