Oxford Statistics researchers Valentin De Bortoli, Emile Mathieu, Michael Hutchinson, James Thornton, Yee Whye Teh and Arnaud Doucet has received an Outstanding Paper Award at NeurIPS 2022, the key conference in Machine Learning and Artificial Intelligence. Their paper Riemmanian Score-Based Generative Modeling generalizes score-based generative model (SGM) from Euclidean space to Riemannian manifolds by identifying major components that contribute to the success of SGMs. The method is both a novel and technically useful contribution.
This is a fantastic achievement, as only 13 papers out of over 8,000 submissions received such an award. Oxford University
Professor Charlotte Deane elected Fellow of the Royal Society
Professor Charlotte Deane MBE, Professor of Structural Bioinformatics in Oxford’s Department of Statistics, has today been announced among the new Fellows of the Royal Society.
OpenBind releases first open dataset and AI model for drug discovery
The OpenBind consortium’s first release of experimental data marks a milestone in efforts to improve how artificial intelligence (AI) is used in drug discovery.
Oxford statisticians take part in PKU–Oxford conference on quantitative finance and data science
Researchers from the University of Oxford’s Department of Statistics were among those taking part in a joint conference with Peking University in April, bringing together academics working across quantitative finance, data science and related areas.