Sigrid Passano Hellan
74 posts
@sighellan
PhD in data science from @InfAtEd. Likes Bayesian optimisation. Learning about rain in Bergen at NORCE and the Bjerknes centre. Opinions are my own.
📣 Hiring! Reach out to discuss PhD opportunities on maths of deep learning and climate change AI in my group at @UofGlasgow. Drop me an email (with motivation & CV) and find more info on my websites: gla.ac.uk/schools/mathem… and tiffanyvlaar.github.io #PhD #ML #AI #Mathematics
Excited to be in 🎊New Orleans🎊 this week for #NeurIPS2023! Ping me to chat Bayesian optimisation, transfer learning or ML and climate. Or if you know any good runs nearby! And if you're interested in the above topics you should stop by our poster on Saturday!
Data-driven Prior Learning for Bayesian Optimisation. (arXiv:2311.14653v1 [cs.LG]) ift.tt/OiY649z
Congratulations to our October winners! 🏆 Every month, we provide a grant of up to £2,000 to assist early-career researchers in quantitative fields, with the goal of fostering innovation within the industry. Learn more about how you could apply. gresearch.com/blog/article/g…
‼️ New paper: Normalization Layers Are All That Sharpness-Aware Minimization Needs ‼️ arxiv.org/abs/2306.04226 We show that applying SAM only to the normalization layers of a network (SAM-ON) enhances performance compared to applying it to the full network.
Finding yourself repeatedly training your ML model because you’ve collected more data? Not sure what to do with the hyperparameters? We investigated for you! Check out the paper arxiv.org/abs/2306.16916 with the wonderful Huibin Shen, @FrancoisAubet, David Salinas and @kleiaaro
Interested in Bayesian optimisation and how it can be applied against climate change? Check out our new short survey. We look at material discovery, wind farm layout planning, optimal renewable control and environmental monitoring. For each we suggest a benchmark to get started.
