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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 systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
131442015
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
87322016
Generating sentences from a continuous space
SR Bowman, L Vilnis, O Vinyals, AM Dai, R Jozefowicz, S Bengio
arXiv preprint arXiv:1511.06349, 2015
20552015
An empirical exploration of recurrent network architectures
R Jozefowicz, W Zaremba, I Sutskever
19242015
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
14512016
Exploring the limits of language modeling
R Jozefowicz, O Vinyals, M Schuster, N Shazeer, Y Wu
arXiv preprint arXiv:1602.02410, 2016
11072016
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
9672020
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
9152019
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
8212019
Revisiting distributed synchronous SGD
J Chen, X Pan, R Monga, S Bengio, R Jozefowicz
arXiv preprint arXiv:1604.00981, 2016
6712016
Learning to generate reviews and discovering sentiment
A Radford, R Jozefowicz, I Sutskever
arXiv preprint arXiv:1704.01444, 2017
4172017
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
3542018
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
3302015
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
1012015
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
772016
Lfads-latent factor analysis via dynamical systems
D Sussillo, R Jozefowicz, LF Abbott, C Pandarinath
arXiv preprint arXiv:1608.06315, 2016
702016
Towards principled unsupervised learning
I Sutskever, R Jozefowicz, K Gregor, D Rezende, T Lillicrap, O Vinyals
arXiv preprint arXiv:1511.06440, 2015
612015
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
592019
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
282016
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
242015
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