mlsanityData to 14 Oct 2026

Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman

arXiv 2312.09766 ↗First posted 15 Dec 2023cs.LGcited by 2

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Abstract (arXiv)

Can a machine or algorithm discover or learn Kepler's first law from astronomical sightings alone? We emulate Johannes Kepler's discovery of the equation of the orbit of Mars with the Rudolphine tables using AI Feynman, a physics-inspired tool for symbolic regression.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 2 of its 16 references that are in the map. First posted on arXiv 15 Dec 2023.

Builds on

2 of 16 references.

References · 2

  1. 2019AI Feynman: a Physics-Inspired Method for Symbolic Regressioncited by 548
  2. 2022Interpretable Scientific Discovery with Symbolic Regression: A Reviewcited by 105

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Cited by year

Citing papers per year: 2023: 1; 2024: 1.

2 papers.

  1. 2024A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regressioncited by 1
  2. 2023Celestial Machine Learning: Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynmancited by 0