| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 6508 | 2015 |
| Tensorflow: Large-scale machine learning on heterogeneous distributed systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016 | 5103 | 2016 |
| Cython: The best of both worlds S Behnel, R Bradshaw, C Citro, L Dalcin, DS Seljebotn, K Smith Computing in Science & Engineering 13 (2), 31-39, 2011 | 701 | 2011 |
| TensorFlow: large-scale machine learning on heterogeneous systems. Software available from tensorflow. org. 2015 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL https://www. tensorflow. org, 2015 | 222 | 2015 |
| Tensorflow: Large-scale machine learning on heterogeneous distributed systems. CoRR abs/1603.04467 (2016) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016 | 151 | 2016 |
| Tensorflow: large-scale machine learning on heterogeneous distributed systems (2016) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467 3, 2016 | 146 | 2016 |
| Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv 2016 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2019 | 134 | 2019 |
| Systematic analysis of challenge-driven improvements in molecular prognostic models for breast cancer AA Margolin, E Bilal, E Huang, TC Norman, L Ottestad, BH Mecham, ... Science translational medicine 5 (181), 181re1-181re1, 2013 | 99 | 2013 |
| TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. 2015. Software available from tensorflow. org M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL https://www. tensorflow. org, 2019 | 72 | 2019 |
| i Xiaoqiang Zheng M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... TensorFlow: Large-scale machine learning on heterogeneous systems, 2015 | 24 | 2015 |
| Cython: the best of both worlds R Bradshaw, C Citro, DS Seljebotn CiSE 2011 Special Python Issue, 25, 2010 | 14 | 2010 |
| -Invariants of Adjoint Square Galois Representations Coming from Modular Forms C Citro International Mathematics Research Notices 2008, 2008 | 14 | 2008 |
| Cython: the best of both worlds L Dalcin, R Bradshaw, K Smith, C Citro, S Behnel, DS Seljebotn Comput. Sci. Eng 13, 31, 2011 | 12 | 2011 |
| A Paradigm for Parallel Matrix Algorithms DS Wise, C Citro, J Hursey, F Liu, M Rainey European Conference on Parallel Processing, 687-698, 2005 | 9 | 2005 |
| API Usability at Scale A Macvean, J Daughtry, L Church, C Citro | 5 | 2016 |
| Computing level one Hecke eigensystems (mod ) C Citro, A Ghitza LMS Journal of Computation and Mathematics 16, 246-270, 2013 | 3 | 2013 |
| Ten-sorflow: A system for large-scale machine learning A Agarwal, P Barham, E Brevdo, Z Chen, C Citro Proceedings of the 12th USENIX Conference on Operating Systems Design and …, 2016 | 2 | 2016 |
| Enumerating Galois representations in sage C Citro, A Ghitza International Congress on Mathematical Software, 256-259, 2010 | 2 | 2010 |
| rules. In Proc. 20th Int. Conf. Very Large Data Bases, VLDB, volume 1215, pages 487–499, 1994.[5] Alfred V. Aho, Ravi Sethi and Jeffrey D. Ullman. Compilers: Principles … C Citro, GS Corrado, A Davis, J Dean, M Devin, MS Olah, J Shlens, ... learning 5 (1), 71-99, 1990 | | 1990 |
| Aberson, S., see Zhang, X., Jan./Feb. pp. 13-21. J Ahrens, M Aivazis, FJ Alexander, C Amerault, JS Andrade Jr, ... | | |
