
OATML_Oxford
@oatml_oxford
Oxford Applied and Theoretical Machine Learning Group
ID: 1025953645706133504
http://oatml.cs.ox.ac.uk/ 05-08-2018 03:56:25
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OATML_Oxford group members and collaborators are proud to present 6 papers at NeurIPS 2022 main conference, and 8 workshop papers. Come chat to us at the poster sessions! oatml.cs.ox.ac.uk/blog/2022/11/2…

**Call open for the Schmidt AI in Science Postdoctoral Fellowship Program** @schmidtfutures University of Oxford Have you completed a PhD in an area of mathematical, physical, or life sciences? Do you have a vision for transformational research in your field using tools from ML/AI?


OATML_Oxford is co-hosting Schmidt AI in Science Fellows to work cutting-edge AI to tackle the big scientific questions of our time. Take a look at some of the research we've done with collaborators in the sciences: nature.com/articles/s4158…

We have a PhD studentship co-supervised between me OATML_Oxford and Alessandro Abate Oxford Comp Sci!




I'm very proud that my collaboration w NASA Ames & the The SETI Institute is finally published in Nature Astronomy We show a framework to search for life on another planet in a data-driven fashion, starting from orbit & all the way through to a rover's view nature.com/articles/s4155…

Our awesome Project Manager at our AI/ML research group OATML_Oxford (based at Oxford Comp Sci University of Oxford) will leave us soon :( We're looking for someone to take the role: if you know anyone who's interested, please forward the job advert! closing 21/4 cs.ox.ac.uk/news/2152-full…


We’ve updated our EVEscape paper with more SARS2 retrospective evaluation and potential use-cases! biorxiv.org/content/10.110… Collaborators Sarah Gurev Pascal Notin Noor Youssef Nathanael Rollins Chris Sander aka cscbio Yarin (OATML_Oxford), Debora Marks, 🧵1/4

New AI tool could help predict viral outbreaks ox.ac.uk/news/2023-10-1… OATML_Oxford #AI


We’re organising a virtual open day! 📅 4-5:30 PM GMT on 22 Nov 2023 Anyone interested in joining OATML_Oxford 🥣🌾for a PhD is welcome! Come to meet OATMLers, get a feel for our group, and ask any questions you may have! ✏️ Sign Up: forms.gle/MSMwp3wvUR9Cnc…






Defending against adversarial prompts is hard; defending against fine-tuning API attacks is much harder. In our new AI Security Institute pre-print, we break alignment and extract harmful info using entirely benign and natural interactions during fine-tuning & inference. 😮 🧵 1/10

