Geoffrey I. Webb on Muck Rack

Geoffrey I. Webb

Victoria
As seen in: Nature, New Scientist, medRxiv
Research Director, Monash Data Futures Institute @MonashUni | Leading expert, #DataScience #AI Researcher #MachineLearning | amateur sailor
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Articles

Computer Science > Machine Learning

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By Geoffrey I. Webb, Hamid Rezatofighi, Mahsa Salehi
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (693) Issue with article?

[2508.11145] Towards the Next-generation Bayesian Network Classifiers

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By Daokun Zhang, Kexin Meng, Geoffrey I. Webb
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (440) Issue with article?

Large language models for scientific discovery in molecular property prediction - Nature Machine Intelligence

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By huan koh, Jiaxin Ju, Lauren May, Geoffrey I. Webb
| Nature Verified
Abstract Large language models (LLMs) are a form of artificial intelligence system encapsulating vast knowledge in the form of natural language. These systems are adept at numerous complex tasks including creative writing, storytelling, translation, question-answering, summarization and computer code generation. Although LLMs have seen initial applications in natural sciences, their potential for driving scientific discovery remains largely unexplored.
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