| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 12748 | 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 | 8525 | 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, 2010 | 1088 | 2010 |
| 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 | 882 | 2019 |
| 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 52, 2015 | 321 | 2015 |
| 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 | 120 | 2013 |
| TensorFlow: Large-scale machine learning on heterogeneous systems. arXiv 2016 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016 | 73 | 2016 |
| 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 L Dalcin, R Bradshaw, K Smith, C Citro, S Behnel, DS Seljebotn Comput. Sci. Eng 13 (02), 31-39, 2011 | 18 | 2011 |
| -Invariants of adjoint square Galois representations coming from modular forms C Citro International Mathematics Research Notices 2008, 2008 | 18 | 2008 |
| Cython: the best of both worlds R Bradshaw, C Citro, DS Seljebotn CiSE 2011 Special Python Issue, 25, 2010 | 15 | 2010 |
| API Usability at Scale. A Macvean, L Church, J Daughtry, C Citro PPIG, 26, 2016 | 11 | 2016 |
| 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 |
| Tensorflow: large-scale machine learning on heterogeneous distributed systems, CoRR abs/1603.04467 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 0 | 7 | |
| 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 | 5 | 2016 |
| TensorFlow: Large-scale machine learning on heterogeneous systems, Software available from tensorflow. org, 2015 M n Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL: https://www. tensorflow. org, 0 | 5 | |
| Computing level one Hecke eigensystems (mod) C Citro, A Ghitza LMS Journal of Computation and Mathematics 16, 246-270, 2013 | 3 | 2013 |
| Enumerating Galois representations in sage C Citro, A Ghitza International Congress on Mathematical Software, 256-259, 2010 | 3 | 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 techniques … C Citro, GS Corrado, A Davis, J Dean, M Devin, MS Olah, J Shlens, ... Learning 5 (1), 71-99, 1990 | 1 | 1990 |
| Elements of\(\ZZ/n\ZZ\) C Citro sage 10, 2, 0 | | |
