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The role of feature space in atomistic learning
v1v2v3v4 (latest)

The role of feature space in atomistic learning

6 September 2020
Alexander Goscinski
Guillaume Fraux
G. Imbalzano
Michele Ceriotti
ArXiv (abs)PDFHTML

Papers citing "The role of feature space in atomistic learning"

6 / 6 papers shown
Title
Completeness of Atomic Structure Representations
Completeness of Atomic Structure Representations
M. J. Willatt
Sergey Pozdnyakov
Christoph Ortner
Michele Ceriotti
79
13
0
28 Feb 2023
A smooth basis for atomistic machine learning
A smooth basis for atomistic machine learning
Filippo Bigi
Kevin K. Huguenin-Dumittan
Michele Ceriotti
D. Manolopoulos
61
6
0
05 Sep 2022
Optimal radial basis for density-based atomic representations
Optimal radial basis for density-based atomic representations
Alexander Goscinski
Félix Musil
Sergey Pozdnyakov
Michele Ceriotti
64
18
0
18 May 2021
Ranking the information content of distance measures
Ranking the information content of distance measures
Aldo Glielmo
C. Zeni
Bing Cheng
Gábor Csányi
Alessandro Laio
141
38
0
30 Apr 2021
Improving Sample and Feature Selection with Principal Covariates
  Regression
Improving Sample and Feature Selection with Principal Covariates Regression
Rose K. Cersonsky
B. Helfrecht
Edgar A. Engel
Michele Ceriotti
42
33
0
22 Dec 2020
Representations of molecules and materials for interpolation of
  quantum-mechanical simulations via machine learning
Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning
Marcel F. Langer
Alex Goessmann
M. Rupp
AI4CE
73
99
0
26 Mar 2020
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