📢📢📢 Job Opportunity! Join Dr Elliot J. Crowley and the Bayesian and Neural Systems Group as a postdoc in NAS and AutoML at the University of Edinburgh. 24-month funded position starting Autumn 2023. PhD in ML or related field required. Apply now: elxw.fa.em3.oraclecloud.com/hcmUI/Candidat…

Excited to be presenting this work today at the Data-centric Machine Learning Research workshop at ICML!

I'm very excited to be in Seoul to give a talk and present a poster about our CVPR'23 Meta Omnium paper at the Hyundai Vision Conference! Feel free to take a look at the poster and also a few photos from this great city! Meta Omnium website: edi-meta-learning.github.io/meta-omnium

Congratulations Linus Ericsson!

Excited for the poster session this afternoon at AutoML_conf! I'll be talking about hyperparameter optimisation for increasing data set sizes and learning between tasks. Work with Huibin Shen, François-Xavier Aubet, David Salinas and Aaron Klein #AutoML23

Now accepted to NeurIPS 2023! Thanks to the reviewers for helpful feedback and amazing collaborators Maximilian Müller, David Rolnick and Matthias Hein.

I have funding for (3.5 yr) PhD positions at Edinburgh in #ML #AI. Interested in safety & trustworthiness of systems that combine traditional software components, symbolic logics, and machine learning systems? Apply at ed.ac.uk/informatics/po… Join School of Informatics, The University of Edinburgh -> The University of Edinburgh

📢 Looking forward to presenting arxiv.org/abs/2311.11108 at #NeurIPS2023! If you think that model interpretability and accuracy for concept-based models are mutually exclusive, then come and check our poster out on 14th Thursday #1516

Very grateful to be one of the winners! The grant is helping me be at NeurIPS this week presening a workshop paper on transfer learning in Bayesian optimisation arxiv.org/abs/2311.14653

+ Asa Cooper Stickland

Poster sessions are happening today! 11:40-1:20 and 5:00-5:30 today in room 208-210. Come chat transfer learning for Gaussian processes and Bayesian optimisation 🌸

Now thesis is in — I’m on the job market! Looking for RS roles for product and/or research. My PhD focused on cross-lingual transfer + structure prediction but also interested in analysis of optimisation, training dynamics and evaluating generation 🧵

Great opportunity to work with Tiffany Vlaar on a fast moving and impactful topic! 🌍

Really cool to talk to Tori at Bjerknessenteret about how fast AI for weather prediction is being developed. Excited to see what 2025 will bring! And as I keep saying, Bergen is a great place to learn about all kinds of weather 🌧️☀️ bjerknes.uib.no/en/article/new…

It’s especially fun to be an ML researcher at Bjerknessenteret when their day at Varmere Våtere Villere starts with a session on ML for climate. So many interesting applications!

Had a great time last week hosting Bjerknessenteret visiting fellow Linus Ericsson. Lots of discussions of ML for weather and climate applications. And a great presentation building up from ML basics to large neural networks for weather prediction.