Hugging Face Trending Papers
Searching for New Physics with Reinforcement Learning
Read the original on Hugging Face Trending Papers →The Flow has not summarised this story yet — read it at Hugging Face Trending Papers.
Related stories
arXiv AI
Aug 24
CDRL: Certification-Driven Reinforcement Learning for Neutrino Flavor Model Discovery
arXiv:2608. 20686v1 Announce Type: new Abstract: Many scientific discovery problems require searching combinatorial hypothesis spaces under complex domain constraints.
arXiv AI
Jul 28
LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization
arXiv:2602. 10576v2 Announce Type: replace-cross Abstract: Symbolic regression aims to distill mathematical equations from observational data.
arXiv AI
3d ago
Searching for BSM Experimental Signatures with Large Lagrangian Models
arXiv:2609.38309v1 Announce Type: cross Abstract: The search for physics Beyond the Standard Model (BSM) is generally limited not by the supply of theory descriptions but by the lack of discriminatin...
arXiv Machine Learning
Aug 17
Unknown Unknowns: Model Misspecification in Machine Learning for Physics
arXiv:2608. 13633v1 Announce Type: cross Abstract: Machine learning is now a central tool for solving inverse problems in particle physics and astronomy.
arXiv AI
Jun 2
Principle-Evolvable Scientific Discovery via Uncertainty Minimization
arXiv:2602. 06448v2 Announce Type: replace-cross Abstract: Large Language Model (LLM)-based scientific agents have accelerated scientific discovery, yet they often suffer from significant inefficiencies due to adherence to fixed initial priors.
arXiv Machine Learning
2d ago
Residuals Are Not Enough: Limits of Physics-Informed Pre-Training for Scientific Foundation Models
arXiv:2503.19081v2 Announce Type: replace Abstract: Scientific foundation models (SciFMs) aim to learn generalizable representations of physical systems governed by partial differential equations (PD...