Manuel Morales-Alvarado
moralesalvarado.bsky.social
Manuel Morales-Alvarado
@moralesalvarado.bsky.social
High energy physics and machine learning @ INFN, SISSA.

Prev: U. of Cambridge, ETHZ, É. Polytechnique, U. de Chile
✨ New preprint!

LLMs can generate text & images — but can they also discover equations in high energy physics?

Using the LLM-SR framework, we show they can uncover compact, interpretable forms for collider observables at the LHC!

More details in:
🔗 arxiv.org/abs/2510.03397
Foundation models for equation discovery in high energy physics
Foundation models, large machine learning models trained on broad, multimodal datasets, have been gaining increasing attention in scientific applications due to their strong performance on diverse dow...
arxiv.org
October 7, 2025 at 10:57 AM
Reposted by Manuel Morales-Alvarado
Great news! Gauge Theory of Elementary Particle Physics by Ta-Pei Cheng and Ling-Fong Li (Oxford) is now OPEN ACCESS! 🎉 You can read and download it for free using the PDF link below. 📖✨

fdslive.oup.com/www.oup.com/...
January 28, 2025 at 4:22 AM
Reposted by Manuel Morales-Alvarado
The papers and posters for our Machine Learning and Physical Sciences workshop at #NeurIPS2024 are online #ml4ps2024. Come check it out on Sunday
ml4physicalsciences.github.io/2024/
December 10, 2024 at 4:47 PM
The power of ML and the intuition of analytical expressions in collider simulations!

Happy to be at the @neuripsconf.bsky.social Machine Learning for the Physical Sciences Workshop presenting 'Symbolic Regression for Precision LHC Physics'!

ml4physicalsciences.github.io/2024/
December 9, 2024 at 4:48 PM