Had a great time last week hosting @BjerknesBCCR visiting fellow @sillinuss. 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.
It’s especially fun to be an ML researcher at @BjerknesBCCR when their day at @varmerevatere starts with a session on ML for climate. So many interesting applications!
Really cool to talk to Tori at @BjerknesBCCR 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 🌧️☀️
https://t.co/4Npoe9R7Fq
📣 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: https://t.co/RtbPzKnPaf and https://t.co/eoieK9ciZd #PhD#ML#AI#Mathematics
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 🧵
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 🌸
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!
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!
This will be presented at the NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World (https://t.co/caanwHgJHD) together with other cool works. Should be a fun day!
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
https://t.co/uhQZzpDyDb
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.
https://t.co/g8OkbJEaX7
📢 Looking forward to presenting https://t.co/JcskqVGPh3 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
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 https://t.co/xX61tb44wL
Join @InfAtEd -> @EdinburghUni
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, @FrancoisAubet, David Salinas and @kleiaaro#AutoML23
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 https://t.co/D4AOSdK1g4 with the wonderful Huibin Shen, @FrancoisAubet, David Salinas and @kleiaaro
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: https://t.co/EH0tpxR1yh
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.
📢📢📢 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: https://t.co/IR0MdgJ9dI