Yarin Gal

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Machine Learning

Autism Spectrum Disorder

Top Venues

bioRxiv : the preprint server for biology

Nature communications

This page only lists publications with an associated author ORCID identifier.

Publications

Sebastian Farquhar, Jannik Kossen, Lorenz Kuhn, Yarin Gal
Detecting hallucinations in large language models using semantic entropy. Nature 630 (8017) (2024)
Sebastian Farquhar, Jannik Kossen, Lorenz Kuhn, Yarin Gal
Detecting hallucinations in large language models using semantic entropy. Nature 630 (8017) (2024)
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross J Anderson, Yarin Gal
AI models collapse when trained on recursively generated data. Nature 631 (8022) (2024)
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross J Anderson, Yarin Gal
AI models collapse when trained on recursively generated data. Nature 631 (8022) (2024)
Sebastian Farquhar, Jannik Kossen, Lorenz Kuhn, Yarin Gal
Detecting hallucinations in large language models using semantic entropy. Nature 630 (8017) (2024)
Pascal Notin, Debora S Marks, Ruben Weitzman, Yarin Gal
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers. bioRxiv : the preprint server for biology (2023)
Pascal Notin, Aaron W Kollasch, Daniel Ritter, Lood van Niekerk, Steffanie Paul, Hansen Spinner, Nathan Rollins, Ada Shaw, Ruben Weitzman, Jonathan Frazer, Mafalda Dias, Dinko Franceschi, Rose Orenbuch, Yarin Gal, Debora S Marks
ProteinGym: Large-Scale Benchmarks for Protein Design and Fitness Prediction. bioRxiv : the preprint server for biology (2023)
Pascal Notin, Ruben Weitzman, Debora S Marks, Yarin Gal
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers. bioRxiv : the preprint server for biology (2023)
Nicole N Thadani, Sarah F Gurev, Pascal Notin, Noor Youssef, Nathan J Rollins, Daniel Ritter, Chris Sander, Yarin Gal, Debora S Marks
Learning from prepandemic data to forecast viral escape. Nature (2023)
Pascal Notin, Aaron W Kollasch, Daniel Ritter, Lood van Niekerk, Steffanie Paul, Hansen Spinner, Nathan Rollins, Ada Shaw, Ruben Weitzman, Jonathan Frazer, Mafalda Dias, Dinko Franceschi, Rose Orenbuch, Yarin Gal, Debora S Marks
ProteinGym: Large-Scale Benchmarks for Protein Design and Fitness Prediction. bioRxiv : the preprint server for biology (2023)
Alexander Lavin, Ciarán M Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Sujoy Ganguly, Danny Lange, Atílím Güneş Baydin, Amit Sharma, Adam Gibson, Stephan Zheng, Eric P Xing, Chris Mattmann, James Parr, Yarin Gal
Technology readiness levels for machine learning systems. Nature communications 13 (1) (2022)
Jonathan Frazer, Pascal Notin, Mafalda Dias, Aidan Gomez, Joseph K Min, Kelly Brock, Yarin Gal, Debora S Marks
Disease variant prediction with deep generative models of evolutionary data. Nature 599 (7883) (2021)
Mrinank Sharma, Sören Mindermann, Charlie Rogers-Smith, Gavin Leech, Benedict Snodin, Janvi Ahuja, Jonas B Sandbrink, Joshua Teperowski Monrad, George Altman, Gurpreet Dhaliwal, Lukas Finnveden, Alexander John Norman, Sebastian B Oehm, Julia Fabienne Sandkühler, Laurence Aitchison, Tomáš Gavenčiak, Thomas Mellan, Jan Kulveit, Leonid Chindelevitch, Seth R Flaxman, Yarin Gal, Swapnil Mishra, Samir Bhatt, Jan Markus Brauner
Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe. Nature communications 12 (1) (2021)