Sigrid Passano Hellan

PhD in data science from @InfAtEd. Likes Bayesian optimisation. Learning about rain in Bergen at NORCE and the Bjerknes centre. Opinions are my own.

[Sigrid Passano Hellan @sighellan]

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.

[Sigrid Passano Hellan @sighellan]

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!

[Sigrid Passano Hellan @sighellan]

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

[Sigrid Passano Hellan @sighellan]

Great opportunity to work with @TiffanyVlaar on a fast moving and impactful topic! 🌍

[Tiffany Vlaar @TiffanyVlaar]

📣 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

[Tom Sherborne @tomsherborne]

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 🧵

[Sigrid Passano Hellan @sighellan]

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 🌸

[Sigrid Passano Hellan @sighellan]

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!

[Sigrid Passano Hellan @sighellan]

+ @AsaCoopStick

[Lauren Nicole DeLong @LaurenNDeLong]

+@sighellan , @chentian_jiang , and @mjstam 🏴󠁧󠁢󠁳󠁣󠁴󠁿

[Sigrid Passano Hellan @sighellan]

Work with Chris Lucas and @ngoddard, at the @EdiDataScience and @ancAtEd, with travel support from @GRESEARCHjobs.

See you Saturday!

[Sigrid Passano Hellan @sighellan]

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!

[Stat.ML Papers @StatMLPapers]

Data-driven Prior Learning for Bayesian Optimisation. (arXiv:2311.14653v1 [cs.LG]) https://t.co/kDKrdwnWto

[Sigrid Passano Hellan @sighellan]

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!

[Sigrid Passano Hellan @sighellan]

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

[G-Research Careers @GRESEARCHjobs]

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

[Ivaxi Sheth @ivakshi_s]

📢 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

[Craig Innes @craiginnes31]

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

[Tiffany Vlaar @TiffanyVlaar]

Now accepted to NeurIPS 2023!
Thanks to the reviewers for helpful feedback and amazing collaborators @mueller_mp, @david_rolnick and Matthias Hein.

[Sigrid Passano Hellan @sighellan]

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

[Sigrid Passano Hellan @sighellan]

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

[Sigrid Passano Hellan @sighellan]

Congratulations @sillinuss!

[CDT in Data Science @EdiDataScience]

@sillinuss presenting his best paper talk on domain adaptation at @automl_conf #AutoML23 🎉🎉🎉🎉

[Ondrej Bohdal @OBohdal]

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

[Sigrid Passano Hellan @sighellan]

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

[Sigrid Passano Hellan @sighellan]

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.

[Edinburgh Vision @EdinburghVision]

📢📢📢 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