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Rafał Józefowicz
Rafał Józefowicz
OpenAI
Verified email at openai.com
Title
Cited by
Cited by
Year
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
296102016
Generating sentences from a continuous space
SR Bowman, L Vilnis, O Vinyals, AM Dai, R Jozefowicz, S Bengio
arXiv preprint arXiv:1511.06349, 2015
26192015
An empirical exploration of recurrent network architectures
R Jozefowicz, W Zaremba, I Sutskever
23322015
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
19462016
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
16112019
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
15492020
Exploring the limits of language modeling
R Jozefowicz, O Vinyals, M Schuster, N Shazeer, Y Wu
arXiv preprint arXiv:1602.02410, 2016
13312016
Revisiting distributed synchronous SGD
J Chen, X Pan, R Monga, S Bengio, R Jozefowicz
arXiv preprint arXiv:1604.00981, 2016
8752016
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
7642015
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
5522018
Learning to generate reviews and discovering sentiment
A Radford, R Jozefowicz, I Sutskever
arXiv preprint arXiv:1704.01444, 2017
5342017
TensorFlow: large-scale machine learning on heterogeneous distributed systems. 2015
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
URL http://download. tensorflow. org/paper/whitepaper2015. pdf, 12, 2015
3942015
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
2632019
Dota 2 with large scale deep reinforcement learning
CB OpenAI, G Brockman, B Chan, V Cheung, P Debiak, C Dennison, ...
arXiv preprint arXiv:1912.06680 2, 2019
1022019
Lfads-latent factor analysis via dynamical systems
D Sussillo, R Jozefowicz, LF Abbott, C Pandarinath
arXiv preprint arXiv:1608.06315, 2016
872016
Towards principled unsupervised learning
I Sutskever, R Jozefowicz, K Gregor, D Rezende, T Lillicrap, O Vinyals
arXiv preprint arXiv:1511.06440, 2015
662015
Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv: 160304467
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
Cornell University, 2016
482016
TensorFlow: Large-scale machine learning on heterogeneous systems. tensorflow. org
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
Accessed May 24, 2020, 2015
362015
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
332015
Potential for optimizing the Higgs boson measurement in decays at the LHC including machine learning techniques
R Józefowicz, E Richter-Was, Z Was
Physical Review D 94 (9), 093001, 2016
292016
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Articles 1–20