Rafał Józefowicz
Rafał Józefowicz
Verified email at openai.com
Cited by
Cited by
Tensorflow: A system for large-scale machine learning
M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ...
12th {USENIX} symposium on operating systems design and implementation …, 2016
TensorFlow: Large-scale machine learning on heterogeneous systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
An empirical exploration of recurrent network architectures
R Jozefowicz, W Zaremba, I Sutskever
Generating sentences from a continuous space
SR Bowman, L Vilnis, O Vinyals, AM Dai, R Jozefowicz, S Bengio
arXiv preprint arXiv:1511.06349, 2015
Improving variational inference with inverse autoregressive flow
DP Kingma, T Salimans, R Jozefowicz, X Chen, I Sutskever, M Welling
arXiv preprint arXiv:1606.04934, 2016
Exploring the limits of language modeling
R Jozefowicz, O Vinyals, M Schuster, N Shazeer, Y Wu
arXiv preprint arXiv:1602.02410, 2016
Revisiting distributed synchronous SGD
J Chen, X Pan, R Monga, S Bengio, R Jozefowicz
arXiv preprint arXiv:1604.00981, 2016
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
Learning to generate reviews and discovering sentiment
A Radford, R Jozefowicz, I Sutskever
arXiv preprint arXiv:1704.01444, 2017
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
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
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
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 172, 2015
Learning dexterous in-hand manipulation
MA OpenAI, B Baker, M Chociej, R Jozefowicz, B McGrew, J Pachocki, ...
arXiv preprint arXiv:1808.00177 2 (3), 5.1, 2018
Towards principled unsupervised learning
I Sutskever, R Jozefowicz, K Gregor, D Rezende, T Lillicrap, O Vinyals
arXiv preprint arXiv:1511.06440, 2015
Fine scale mapping of genomic introgressions within the Drosophila yakuba clade
DA Turissini, DR Matute
PLoS genetics 13 (9), e1006971, 2017
Lfads-latent factor analysis via dynamical systems
D Sussillo, R Jozefowicz, LF Abbott, C Pandarinath
arXiv preprint arXiv:1608.06315, 2016
From conformal to Einstein gravity
G Anastasiou, R Olea
Physical Review D 94 (8), 086008, 2016
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
Martin Wa enberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems.(2015). hp
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
tensor ow. org/So ware available from tensor ow. org, 2015
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