Research Scientist @ Weather team Google DeepMind
Joined February 2017
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Stratis Markou retweeted
Our first release is Gemini 3 Pro, which is rolling out globally starting today.
It significantly outperforms 2.5 Pro across the board:
🥇 Tops LMArena and WebDev @arena leaderboards
🧠 PhD-level reasoning on Humanity’s Last Exam
📋 Leads long-horizon planning on Vending-Bench 2
Stratis Markou retweeted
We’re using AI to improve cyclone prediction. 🌀
Introducing Weather Lab: a new interactive platform developed with @GoogleResearch, hosting our experimental AI weather model which can predict a cyclone’s track, intensity, size and structure.
Here’s how it works. 🧵
Stratis Markou retweeted
Where should we measure the environment to minimise uncertainty about weather and climate? 🎲⛅
I'm excited to share that my second journal paper, which grapples with this fascinating problem, will be published soon!
Interested? Check out my 15-min talk: youtu.be/v0pmqh09u1Y
Stratis Markou retweeted
Happy to announce our #ICLR2023 paper Autoregressive Conditional Neural Processes!
w/ @stratosmarkou, @jamesrequeima, @AndrewFoongYK, @tom_r_andersson, Anna Vaughan, Anthony Buonomo, @scotthosking, Rich Turner
Paper: arxiv.org/abs/2303.14468
Code: github.com/wesselb/neuralpro…
🧵1/4
Stratis Markou retweeted
I'm very excited to announce the release of Plum 2.0!
With this release, Plum is fully powered by Beartype, which means that Plum now supports any type supported by Beartype.
And that's not all: Plum is now proudly a member of the Beartype org!
github.com/beartype/plum
Stratis Markou retweeted
📢Thrilled to be presenting 'Environmental Sensor Placement with Convolutional Gaussian Neural Processes' at a #NeurIPS22 workshop
🗞️Poster gp-seminar-series.github.io/…
📰Paper arxiv.org/abs/2211.10381
🤝Collaboration betw @BAS_News & @CambridgeMLG
💲Funded by @turinginst
👇More below
I am extremely grateful for the support of @Qualcomm_EU and the Qualcomm Innovation Fellowship! I am also very thankful for the help and guidance of my supervisor, Carl Rasmussen, and my advisor, Richard Turner. Onwards to a year of exciting work :)
#PhDStudent @stratosmarkou has secured a Qualcomm #Innovation #Fellowship. He will build scalable & robust #MachineLearning models to tackle challenges facing #ClimateScience & #healthcare
eng.cam.ac.uk/news/funding-a…
These fields often involve #safety-critical decision-making.
Stratis Markou retweeted
Announcing the 2022 NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems!
Please consider submitting a 4-page extended abstract by September 22nd!
gp-seminar-series.github.io/…
Thanks to amazing organizers @gpleiss, @liza_p_semenova, @ziwphd
ALT NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems
Stratis Markou retweeted
The workshop website is now live🚀🚀: sites.google.com/view/icbinb…
Key dates:
✔️Paper Submission Deadline - Sep 22, 2022
✅Paper Acceptance Notification - Oct 20, 2022
🤵In-Person Workshop - December 3, 2022
🚀 Ever had a research idea that seemed brilliant but turned out to not work in practice? 🚀
Don’t move on to something else; your research has built a hypothesis and then disproved it! Present your work at our 🥳 now accepted 🥳 hybrid @NeurIPSConf workshop! #NeurIPS2022
Stratis Markou retweeted
We're excited to be at #ICLR2022 this week! Our group and collaborators will be presenting 11 papers (including an Oral and 3 Spotlights) at the main conference!
Check out our @iclr_conf schedule below. Please drop by and have a chat.
Stratis Markou retweeted
Still using latent variables to get correlations out of your Neural Process?
Then consider Gaussian Neural Processes (GNP)!
✓ Correlated predictions
✓ Tractable likelihood
@stratosmarkou, @jamesrequeima, @ikwess, Anna Vaughan & Rich Turner #ICLR2022
arxiv.org/abs/2203.08775
Stratis Markou retweeted
Announcing the virtual seminar series on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems!
Time: Mondays at 16:00 UTC
The inaugural keynote will be given by @ta_broderick on March 14th (pi day). Please register on the website!
gp-seminar-series.github.io
