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Journal Articles
- 2022
[j3]Carl Poelking, Felix A. Faber, Bingqing Cheng
:
BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale. Mach. Learn. Sci. Technol. 3(4): 40501 (2022)- 2021
- [j2]Behnam Parsaeifard, Deb Sankar De, Anders S. Christensen, Felix A. Faber, Emir Kocer, Sandip De, Jörg Behler, O. Anatole von Lilienfeld, Stefan Goedecker:
An assessment of the structural resolution of various fingerprints commonly used in machine learning. Mach. Learn. Sci. Technol. 2(1): 15018 (2021) - 2020
- [j1]Julia Westermayr, Felix A. Faber, Anders S. Christensen, O. Anatole von Lilienfeld, Philipp Marquetand:
Neural networks and kernel ridge regression for excited states dynamics of CH2NH$_2^+$: From single-state to multi-state representations and multi-property machine learning models. Mach. Learn. Sci. Technol. 1(2): 25009 (2020)
Conference and Workshop Papers
- 2024
- [c1]Ilyes Batatia, Lars L. Schaaf, Gábor Csányi, Christoph Ortner, Felix A. Faber:
Equivariant Matrix Function Neural Networks. ICLR 2024
Informal and Other Publications
- 2023
- [i2]Ilyes Batatia, Lars L. Schaaf, Huajie Chen, Gábor Csányi, Christoph Ortner, Felix A. Faber:
Equivariant Matrix Function Neural Networks. CoRR abs/2310.10434 (2023) - 2021
- [i1]Carl Poelking, Felix A. Faber, Bingqing Cheng:
BenchML: an extensible pipelining framework for benchmarking representations of materials and molecules at scale. CoRR abs/2112.02287 (2021)
Coauthor Index
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