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Brooks Paige

University of Cambridge (from arXiv:1807.07155, 2018) · ORCID · OpenAlex

5 papers in scope · 4 published · 1 on the econ.EM arXiv · 492 citations · h-index 4 (over the papers listed here)

Papers

(1 of 5)

Explaining holistic image regressors and classifiers in urban analytics with plausible counterfactuals
published2023 · International Journal of Geographical Information Systems · 10 citations
with Stephen Law, Rikuo Hasegawa, Chris Russell, Andrew Elliott
Seasonal Arctic sea ice forecasting with probabilistic deep learning
published2021 · Nature Communications · 280 citations
with Tom R. Andersson, J. Scott Hosking, María Pérez-Ortiz, Andrew Elliott, Chris Russell, Stephen Law, Daniel C. Jones, Jeremy Wilkinson, Tony Phillips, James Byrne, Steffen Tietsche, Beena Balan Sarojini, …
Learning Generative Models from Classifier Uncertainties
published2020 · International Conference on Machine Learning
with N. Siddharth
Take a Look Around
published2019 · ACM Transactions on Intelligent Systems and Technology · 180 citations
working paper2018 · arXiv · 22 citations

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.