| Quantum-chemical insights from deep tensor neural networks KT Schütt, F Arbabzadah, S Chmiela, KR Müller, A Tkatchenko Nature communications 8 (1), 13890, 2017 | 1483 | 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 | 43 | 2016 |
| Cosmic strings interacting with dark strings B Hartmann, F Arbabzadah Journal of High Energy Physics 2009 (07), 068, 2009 | 26 | 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 | 7 | 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 | 5 | 2010 |
| Dark strings interacting with cosmic strings B Hartmann, F Arbabzadah, Y Brihaye Verhandlungen der Deutschen Physikalischen Gesellschaft, 2010 | | 2010 |
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, Germany在 tu-berlin.de 的电子邮件经过验证
