Evolving Scientific Discovery by Unifying Data and Background Knowledge
with AI Hilbert

v1v2v3 (latest)

Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert

Nature Communications (Nat. Commun.), 2023

18 August 2023

Ryan Cory-Wright

Cristina Cornelio

Bachir El Khadir

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Papers citing "Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert"

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Title
When is a System Discoverable from Data? Discovery Requires Chaos Zakhar Shumaylov Peter Zaika Philipp Scholl Gitta Kutyniok Lior Horesh Carola-Bibiane Schönlieb 123 1 0 12 Nov 2025
EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph Nan Jiang Ziyi Wang Yexiang Xue OffRL 108 0 0 08 Nov 2025
Reproducibility: The New Frontier in AI Governance Israel Mason-Williams Gabryel Mason-Williams 132 3 0 13 Oct 2025
Bridging the Gap Between Scientific Laws Derived by AI Systems and Canonical Knowledge via Abductive Inference with AI-Noether Karan Srivastava S. Dash Ryan Cory-Wright Barry Trager L. Horesh Lior Horesh 92 1 0 26 Sep 2025
The Need for Verification in AI-Driven Scientific Discovery Cristina Cornelio Takuya Ito Ryan Cory-Wright S. Dash L. Horesh 115 2 0 01 Sep 2025
Verification and Validation for Trustworthy Scientific Machine Learning John D. Jakeman Lorena A. Barba J. Martins Thomas O'Leary-Roseberry AI4CE 428 2 0 21 Feb 2025