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Luís F. Simões

@lfsim.bsky.social
130 followers 154 following 8 posts

Lead Data Scientist at mlanalytics.ai – AI in Space researcher – Machine Learning for ESA's Ariel mission (2029) – Formerly at European Space Agency's Advanced Concepts Team and Frontier Development Lab. orcid.org/0000-0002-9164-5626

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Reposted by Luís F. Simões
arXiv bot (astro-ph) @krxiv-astro-ph.bsky.social · 25/06/2025
Extreme Learning Machines for Exoplanet Simulations: A Faster, Lightweight Alternative to Deep Learning arxiv.org/pdf/2506.19679 Tara P. A. Tahseen, Luís F. Simões, Kai Hou Yip, Nikolaos Nikolaou, João M. Mendonça, Ingo P. Waldmann.
arxiv.org
https://arxiv.org/abs/2506.19679
arXiv abstract link
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Reposted by Luís F. Simões
Paul Eric @pauleric70.bsky.social · 22/12/2024
"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
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Reposted by Luís F. Simões
Ariel Space Mission @arieltelescope.bsky.social · 14/12/2024
The Ariel team at NeurIPS conference 2024! 😊
The Ariel team stand smiling together at NeurIPS conference 2024
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Luís F. Simões @lfsim.bsky.social · 14/12/2024
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
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Reposted by Luís F. Simões
Théo Gnassounou @tgnassou.bsky.social · 06/12/2024
🚀 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`
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Reposted by Luís F. Simões
Michael Kirchhof @mkirchhof.bsky.social · 03/12/2024
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
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Luís F. Simões @lfsim.bsky.social · 02/12/2024
Welcome to Bluesky @arieltelescope.bsky.social ! 👋 That was a great consortium meeting. Happy to have been able to help with the local organization.
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Reposted by Luís F. Simões
Astrobiology @astrobiology.bsky.social · 02/12/2024
Constructing Impactful Machine Learning Research For Astronomy: Best Practices For Researchers And Reviewers astrobiology.com/2023/10/cons... #astrobiology #Astrochemistry #astronomy
astrobiology.com
Constructing Impactful Machine Learning Research For Astronomy: Best Practices For Researchers And Reviewers - Astrobiology
Machine learning has rapidly become a tool of choice for the astronomical community.
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Reposted by Luís F. Simões
Olivier Grisel @ogrisel.bsky.social · 27/11/2024
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...
A high-level summary diagram taken from the slides linked below. It shows the interplay of two main components: a probabilistic model and decision maker or planner.Probabilistic predictions of an underfitting polynomial classifier on a noisy XOR task and the corresponding under-confident calibration curve.Probabilistic predictions of an overfitting polynomial classifier and the resulting overconfident calibration curve on the same noisy XOR problem.Simulation study to show the relative lack of stability of hyperparameter tuning when using hard metrics such as Accuracy or soft yet not probabilistic metrics such as ROC AUC compared to a strictly proper scoring rule such as the log-loss.
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Reposted by Luís F. Simões
Mark SubbaRao @marksubbarao.bsky.social · 17/11/2024
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/
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Luís F. Simões @lfsim.bsky.social · 21/11/2024
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...
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Reposted by Luís F. Simões
Ethan Mollick @emollick.bsky.social · 19/11/2024
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!
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Reposted by Luís F. Simões
Prof Stephen Serjeant @stephenserjeant.bsky.social · 19/11/2024
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...
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