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Quantum Energy Regression using Scattering Transforms
v1v2v3 (latest)

Quantum Energy Regression using Scattering Transforms

6 February 2015
M. Hirn
N. Poilvert
S. Mallat
ArXiv (abs)PDFHTML

Papers citing "Quantum Energy Regression using Scattering Transforms"

4 / 4 papers shown
Title
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
Constant Size Molecular Descriptors For Use With Machine Learning
Constant Size Molecular Descriptors For Use With Machine Learning
Christopher R. Collins
Geoffrey J. Gordon
O. A. von Lilienfeld
D. Yaron
18
13
0
23 Jan 2017
Automatic chemical design using a data-driven continuous representation
  of molecules
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli
Jennifer N. Wei
David Duvenaud
José Miguel Hernández-Lobato
Benjamín Sánchez-Lengeling
Dennis Sheberla
J. Aguilera-Iparraguirre
Timothy D. Hirzel
Ryan P. Adams
Alán Aspuru-Guzik
3DV
281
2,962
0
07 Oct 2016
Understanding Deep Convolutional Networks
Understanding Deep Convolutional Networks
S. Mallat
FAttAI4CE
184
642
0
19 Jan 2016
1