| 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 | 12703 | 2016 |
| Generating sentences from a continuous space SR Bowman, L Vilnis, O Vinyals, AM Dai, R Jozefowicz, S Bengio arXiv preprint arXiv:1511.06349, 2015 | 2963 | 2015 |
| An empirical exploration of recurrent network architectures R Jozefowicz, W Zaremba, I Sutskever | 2531 | 2015 |
| Improved variational inference with inverse autoregressive flow DP Kingma, T Salimans, R Jozefowicz, X Chen, I Sutskever, M Welling Advances in neural information processing systems 29, 2016 | 2265 | 2016 |
| Dota 2 with large scale deep reinforcement learning C Berner, G Brockman, B Chan, V Cheung, P Dębiak, C Dennison, ... arXiv preprint arXiv:1912.06680, 2019 | 2159 | 2019 |
| Learning dexterous in-hand manipulation OAIM Andrychowicz, B Baker, M Chociej, R Jozefowicz, B McGrew, ... The International Journal of Robotics Research 39 (1), 3-20, 2020 | 1964 | 2020 |
| Exploring the limits of language modeling R Jozefowicz, O Vinyals, M Schuster, N Shazeer, Y Wu arXiv preprint arXiv:1602.02410, 2016 | 1479 | 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 10, 2019 | 1348 | 2019 |
| Revisiting distributed synchronous SGD J Chen, X Pan, R Monga, S Bengio, R Jozefowicz arXiv preprint arXiv:1604.00981, 2016 | 968 | 2016 |
| Inferring single-trial neural population dynamics using sequential auto-encoders C Pandarinath, DJ O’Shea, J Collins, R Jozefowicz, SD Stavisky, JC Kao, ... Nature methods 15 (10), 805-815, 2018 | 725 | 2018 |
| Learning to generate reviews and discovering sentiment A Radford, R Jozefowicz, I Sutskever | 611 | 2018 |
| 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 | 549 | 2015 |
| 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, ... | 441 | 2019 |
| TensorFlow: Large-scale machine learning on heterogeneous systems. arXiv 2015 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... arXiv preprint arXiv:1603.04467, 2016 | 168 | 2016 |
| Dota 2 with large scale deep reinforcement learning G Brockman, B Chan, V Cheung, P Debiak, C Dennison, D Farhi, ... arXiv preprint arXiv:1912.06680 2, 2019 | 126 | 2019 |
| Lfads-latent factor analysis via dynamical systems D Sussillo, R Jozefowicz, LF Abbott, C Pandarinath arXiv preprint arXiv:1608.06315, 2016 | 99 | 2016 |
| TensorFlow M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... Large-scale machine learning on heterogeneous systems 11, 2015 | 91 | 2015 |
| & Zheng M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... X.: Tensorflow: Large-scale machine learning on heterogeneous distributed …, 2016 | 75 | 2016 |
| Towards principled unsupervised learning I Sutskever, R Jozefowicz, K Gregor, D Rezende, T Lillicrap, O Vinyals arXiv preprint arXiv:1511.06440, 2015 | 73 | 2015 |
| Dota 2 with large scale deep reinforcement learning. arXiv 2019 C Berner, G Brockman, B Chan, V Cheung, P Debiak, C Dennison, ... arXiv preprint arXiv:1912.06680, 1912 | 66 | 1912 |
Ilya SutskeverCo-Founder and Chief Scientist at Safe Superintelligence IncBestätigte E-Mail-Adresse bei ssi.inc
