Extreme Learning Machines for Exoplanet Simulations: A Faster, Lightweight Alternative to Deep Learning
https://arxiv.org/pdf/2506.19679
Tara P. A. Tahseen, Luís F. Simões, Kai Hou Yip, Nikolaos Nikolaou, João M. Mendonça, Ingo P. Waldmann.

"We are like butterflies who flutter for a day and think it's forever."

- Carl Sagan, in Cosmos (1980)

Visualisation of our galactic cluster 💫😲💫✨💫🌌💫

NASA

The Ariel team at NeurIPS conference 2024! 😊

Tomorrow, at #NeurIPS2024, don't miss the session on the "Ariel Data Challenge 2024: Extracting exoplanetary signals from the Ariel Space Telescope".
neurips.cc/virtual/2024...

Meet the winners of the Kaggle competition, and find out the role ML will play in the @arieltelescope.bsky.social

🚀 Skada v0.4.0 is out!

Skada is an open-source Python library built for domain adaptation (DA), helping machine learning models to adapt to distribution shifts.
Github: github.com/scikit-adapt...
Doc: scikit-adaptation.github.io
DOI: doi.org/10.5281/zeno...
Installation: `pip install skada`

Proud to announce our NeurIPS spotlight, which was in the works for over a year now :) We dig into why decomposing aleatoric and epistemic uncertainty is hard, and what this means for the future of uncertainty quantification.

📖 arxiv.org/abs/2402.19460 🧵1/10

Welcome to Bluesky @arieltelescope.bsky.social ! 👋

That was a great consortium meeting.
Happy to have been able to help with the local organization.

Constructing Impactful Machine Learning Research For Astronomy: Best Practices For Researchers And Reviewers
astrobiology.com/2023/10/cons... #astrobiology #Astrochemistry #astronomy

I recently shared some of my reflections on how to use probabilistic classifiers for optimal decision-making under uncertainty at @pydataparis.bsky.social 2024.

Here is the recording of the presentation:

www.youtube.com/watch?v=-gYn...

This high resolution model (1.5km) 3D model of Carbon Dioxide shows its sources of emissions and its transport across the globe.

Full details and credits here: svs.gsfc.nasa.gov/5196/

Join us for the first #ESA Datalabs Hackathon.

Develop #MachineLearning models to study #Exoplanets, for the #ArielTelescope!

📍 Where: European Space Astronomy Centre (ESA-ESAC), near Madrid 🇪🇸
📅 When: 16-17 January 2025
👉 Register by 15 December 2024: www.ariel-datachallenge.space/esa-datalabs...

Crazy interesting paper in many ways:
1) Voice-enabled GPT-4o conducted 2 hour
interviews of 1,052 people
2) GPT-4o agents were given the transcripts & prompted to simulate the people
3) The agents were given surveys & tasks. They achieved 85% accuracy in simulating interviewees real answers!

This is one really big area of @ec-euclid.bsky.social Legacy Science that absolutely needs human eyes. The very best machine learning gravitational lens finders make lens-candidate lists that are just 10% pure, ie 1 lens comes with 9 false positives. We need your 👀!
🔭🧪

bsky.app/profile/elsa...