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Yarin Gal

Showing results (1-10 of 22) with videos related to

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Nature|October 7, 2025
Customizable AI systems that anyone can adapt bring big opportunities - and even bigger risksYarin Gal, Stephen Casper
Nature|June 19, 2024
Detecting hallucinations in large language models using semantic entropySebastian Farquhar, Jannik Kossen, Lorenz Kuhn, et al.
Biorxiv : the Preprint Server for Biology|December 18, 2023
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric TransformersPascal Notin, Debora S Marks, Ruben Weitzman, et al.
Nature Biotechnology|February 16, 2024
Machine learning for functional protein designPascal Notin, Nathan Rollins, Yarin Gal, et al.
Nature|March 22, 2025
Author Correction: AI models collapse when trained on recursively generated dataIlia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.
NPJ Digital Medicine|November 14, 2025
The human factor in explainable artificial intelligence: clinician variability in trust, reliance, and performanceAngus Nicolson, Elizabeth Bradburn, Yarin Gal, et al.
Nature|July 24, 2024
AI models collapse when trained on recursively generated dataIlia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.
Nature Communications|April 11, 2026
Hybrid physics-machine learning models for quantitative electron diffraction refinementsShreshth A Malik, Tiarnan A S Doherty, Benjamin Colmey, et al.
Nature|October 28, 2021
Disease variant prediction with deep generative models of evolutionary dataJonathan Frazer, Pascal Notin, Mafalda Dias, et al.
Nature|December 18, 2021
Publisher Correction: Disease variant prediction with deep generative models of evolutionary dataJonathan Frazer, Pascal Notin, Mafalda Dias, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Nature|October 7, 2025
Customizable AI systems that anyone can adapt bring big opportunities - and even bigger risksYarin Gal, Stephen Casper
Nature|June 19, 2024
Detecting hallucinations in large language models using semantic entropySebastian Farquhar, Jannik Kossen, Lorenz Kuhn, et al.
Biorxiv : the Preprint Server for Biology|December 18, 2023
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric TransformersPascal Notin, Debora S Marks, Ruben Weitzman, et al.
Nature Biotechnology|February 16, 2024
Machine learning for functional protein designPascal Notin, Nathan Rollins, Yarin Gal, et al.
Nature|March 22, 2025
Author Correction: AI models collapse when trained on recursively generated dataIlia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.
NPJ Digital Medicine|November 14, 2025
The human factor in explainable artificial intelligence: clinician variability in trust, reliance, and performanceAngus Nicolson, Elizabeth Bradburn, Yarin Gal, et al.
Nature|July 24, 2024
AI models collapse when trained on recursively generated dataIlia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.
Nature Communications|April 11, 2026
Hybrid physics-machine learning models for quantitative electron diffraction refinementsShreshth A Malik, Tiarnan A S Doherty, Benjamin Colmey, et al.
Nature|October 28, 2021
Disease variant prediction with deep generative models of evolutionary dataJonathan Frazer, Pascal Notin, Mafalda Dias, et al.
Nature|December 18, 2021
Publisher Correction: Disease variant prediction with deep generative models of evolutionary dataJonathan Frazer, Pascal Notin, Mafalda Dias, et al.
Pageof 3