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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
S. Dash
Bachir El Khadir
L. Horesh
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Papers citing
"Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert"
6 / 6 papers shown
When is a System Discoverable from Data? Discovery Requires Chaos
Zakhar Shumaylov
Peter Zaika
Philipp Scholl
Gitta Kutyniok
Lior Horesh
Carola-Bibiane Schönlieb
155
1
0
12 Nov 2025
EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph
Nan Jiang
Ziyi Wang
Yexiang Xue
OffRL
120
0
0
08 Nov 2025
Reproducibility: The New Frontier in AI Governance
Israel Mason-Williams
Gabryel Mason-Williams
152
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
120
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
163
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
460
2
0
21 Feb 2025
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