Publications by authors named "Yarin Gal"

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The human factor in explainable artificial intelligence: clinician variability in trust, reliance, and performance.
Angus Nicolson, Elizabeth Bradburn, Yarin Gal, Aris T Papageorghiou, J Alison Noble

NPJ Digit Med· November 2025

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Customizable AI systems that anyone can adapt bring big opportunities - and even bigger risks.
Yarin Gal, Stephen Casper

Nature· October 2025

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Author Correction: AI models collapse when trained on recursively generated data.
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, Yarin Gal

Nature· April 2025

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AI models collapse when trained on recursively generated data.
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross Anderson, Yarin Gal

Nature· July 2024

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Detecting hallucinations in large language models using semantic entropy.
Sebastian Farquhar, Jannik Kossen, Lorenz Kuhn, Yarin Gal

Nature· June 2024

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Machine learning for functional protein design.
Pascal Notin, Nathan Rollins, Yarin Gal, Chris Sander, Debora Marks

Nat Biotechnol· February 2024

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ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers.
Pascal Notin, Debora S Marks, Ruben Weitzman, Yarin Gal

bioRxiv· December 2023

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ProteinGym: Large-Scale Benchmarks for Protein Design and Fitness Prediction.
Pascal Notin, Aaron W Kollasch, Daniel Ritter, Lood van Niekerk, Steffanie Paul, Yarin Gal

bioRxiv· December 2023

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Learning from prepandemic data to forecast viral escape.
Nicole N Thadani, Sarah Gurev, Pascal Notin, Noor Youssef, Nathan J Rollins, Yarin Gal

Nature· October 2023

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Mixtures of large-scale dynamic functional brain network modes.
Chetan Gohil, Evan Roberts, Ryan Timms, Alex Skates, Cameron Higgins, Yarin Gal

Neuroimage· November 2022

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Technology readiness levels for machine learning systems.
Alexander Lavin, Ciarán M Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Yarin Gal

Nat Commun· October 2022

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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results.
Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Yarin Gal

J Mach Learn Biomed Imaging· August 2022

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Mask wearing in community settings reduces SARS-CoV-2 transmission.
Gavin Leech, Charlie Rogers-Smith, Joshua Teperowski Monrad, Jonas B Sandbrink, Benedict Snodin, Yarin Gal

Proc Natl Acad Sci U S A· June 2022

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A dataset of non-pharmaceutical interventions on SARS-CoV-2 in Europe.
George Altman, Janvi Ahuja, Joshua Teperowski Monrad, Gurpreet Dhaliwal, Charlie Rogers-Smith, Yarin Gal

Sci Data· April 2022

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Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference.
Raghav Mehta, Thomas Christinck, Tanya Nair, Aurelie Bussy, Swapna Premasiri, Yarin Gal

IEEE Trans Med Imaging· February 2022

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Publisher Correction: Disease variant prediction with deep generative models of evolutionary data.
Jonathan Frazer, Pascal Notin, Mafalda Dias, Aidan Gomez, Joseph K Min, Yarin Gal

Nature· January 2022

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Disease variant prediction with deep generative models of evolutionary data.
Jonathan Frazer, Pascal Notin, Mafalda Dias, Aidan Gomez, Joseph K Min, Yarin Gal

Nature· November 2021

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Changing composition of SARS-CoV-2 lineages and rise of Delta variant in England.
Swapnil Mishra, Sören Mindermann, Mrinank Sharma, Charles Whittaker, Thomas A Mellan, Yarin Gal

EClinicalMedicine· September 2021

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Towards global flood mapping onboard low cost satellites with machine learning.
Gonzalo Mateo-Garcia, Joshua Veitch-Michaelis, Lewis Smith, Silviu Vlad Oprea, Guy Schumann, Yarin Gal

Sci Rep· March 2021

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