Farhad Arbabzadah
Cited by
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Quantum-chemical insights from deep tensor neural networks
KT Schütt, F Arbabzadah, S Chmiela, KR Müller, A Tkatchenko
Nature communications 8 (1), 1-8, 2017
Identifying individual facial expressions by deconstructing a neural network
F Arbabzadah, G Montavon, KR Müller, W Samek
38th German Conference on Pattern Recognition (GCPR 2016), 2016
Cosmic strings interacting with dark strings
B Hartmann, F Arbabzadah
Journal of High Energy Physics 2009 (07), 068, 2009
A generic implementation approach of autonomous control methods in production logistics
K Windt, T Becker, D Asenov, F Arbabzadah
IEEE ICCA 2010, 629-633, 2010
Improved logistics performance through the use of locked flexibility potentials
K Windt, O Jeken, F Arbabzadah
43rd CIRP International Conference on Manufacturing Systems in Vienna …, 2010
Quantum-chemical insights from deep tensor neural networks
F Arbabzadah, S Chmiela, A Tkatchenko
Bulletin of the American Physical Society 62, 2017
Dark strings interacting with cosmic strings
B Hartmann, F Arbabzadah, Y Brihaye
Verhandlungen der Deutschen Physikalischen Gesellschaft, 2010
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