Sotabase

Career

· Associate Member (PhD), Oxford Applied and Theoretical Machine Learning Group (OATML)2020–
· PhD Student, University of Oxford Department of Computer Science

Publications (10)

Modern Bayesian Experimental Design
Statistical Science · 2023
161
cited
Prediction-Oriented Bayesian Active Learning
International Conference on Artificial Intelligence and Statistics · 2023
56
cited
Continual Learning via Sequential Function-Space Variational Inference
International Conference on Machine Learning · 2023
52
cited
Rethinking Aleatoric and Epistemic Uncertainty
International Conference on Machine Learning · 2024
19
cited
Making Better Use of Unlabelled Data in Bayesian Active Learning
International Conference on Artificial Intelligence and Statistics · 2024
10
cited
BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
arXiv.org · 2025
2
cited
Scaling Up Active Testing to Large Language Models
arXiv.org · 2025
1
cited
The perceptual boost of visual attention is task-dependent in naturalistic settings
arXiv.org · 2020
1
cited
Understanding top-down attention using task-oriented ablation design
arXiv.org · 2021
1
cited
Prediction-Oriented Subsampling from Data Streams
arXiv.org · 2025
Sotabase
Freddie Barr-Smith | Researcher Profile | Sotabase | Sotabase