Sotabase

Career

· Co-founder and Chief Science Officer, Mind Foundry2016–
· Professor of Machine Learning, University of Oxford2016–
· Director, EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems
· Official Fellow, Exeter College
· Co-Director, Oxford Martin AI Governance Initiative

Publications (149)

The future of employment: How susceptible are jobs to computerisation?
2017
7,307
cited
Gaussian process regression for forecasting battery state of health
2017
575
cited
Probabilistic numerics and uncertainty in computations
Proceedings of the Royal Society A · 2015
324
cited
Gaussian Process Regression for In Situ Capacity Estimation of Lithium-Ion Batteries
IEEE Transactions on Industrial Informatics · 2017
293
cited
Gaussian Processes for Global Optimization
2008
278
cited
A Gaussian process framework for modelling stellar activity signals in radial velocity data
2015
212
cited
Battery health prediction under generalized conditions using a Gaussian process transition model
Journal of Energy Storage · 2018
202
cited
On the Limitations of Representing Functions on Sets
International Conference on Machine Learning · 2019
177
cited
Bayesian optimization for sensor set selection
International Symposium on Information Processing in Sensor Networks · 2010
171
cited
Bayesian Gaussian processes for sequential prediction, optimisation and quadrature
2010
147
cited
Active Learning of Model Evidence Using Bayesian Quadrature
Neural Information Processing Systems · 2012
134
cited
Probabilistic Integration
arXiv.org · 2015
130
cited
GLASSES: Relieving The Myopia Of Bayesian Optimisation
International Conference on Artificial Intelligence and Statistics · 2015
124
cited
Variational Inference for Gaussian Process Modulated Poisson Processes
International Conference on Machine Learning · 2014
123
cited
Technology at work: the future of innovation and employment
2015
122
cited
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
Neural Information Processing Systems · 2014
117
cited
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
International Conference on Learning Representations · 2021
113
cited
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
International Conference on Machine Learning · 2019
110
cited
Active Learning of Linear Embeddings for Gaussian Processes
Conference on Uncertainty in Artificial Intelligence · 2013
100
cited
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
Neural Information Processing Systems · 2015
95
cited
Sotabase