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2212.10283
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Interpretable models for extrapolation in scientific machine learning
16 December 2022
Eric S. Muckley
J. Saal
B. Meredig
C. Roper
James H. Martin
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Papers citing
"Interpretable models for extrapolation in scientific machine learning"
7 / 7 papers shown
Title
Learning simple heuristic rules for classifying materials based on chemical composition
Andrew Ma
Marin Soljacic
28
0
0
05 May 2025
Sparse mixed linear modeling with anchor-based guidance for high-entropy alloy discovery
Ryo Murakami
Seiji Miura
Akihiro Endo
Satoshi Minamoto
40
0
0
29 Apr 2025
Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules
Nofit Segal
Aviv Netanyahu
Kevin P. Greenman
Pulkit Agrawal
Rafael Gómez-Bombarelli
OODD
50
1
0
09 Feb 2025
Predicting band gap from chemical composition: A simple learned model for a material property with atypical statistics
Andrew Ma
Owen Dugan
Marin Soljacic
33
0
0
06 Jan 2025
Materials-Discovery Workflows Guided by Symbolic Regression: Identifying Acid-Stable Oxides for Electrocatalysis
Akhil S. Nair
L. Foppa
Matthias Scheffler
59
1
0
08 Dec 2024
Symbolic Learning for Material Discovery
Daniel Cunnington
F. Cipcigan
Rodrigo Neumann Barros Ferreira
Jonathan Booth
8
1
0
30 Nov 2023
Interpreting and generalizing deep learning in physics-based problems with functional linear models
Amirhossein Arzani
Lingxiao Yuan
P. Newell
Bei Wang
AI4CE
26
7
0
10 Jul 2023
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