Christopher Olah
Christopher Olah
Research Scientist, OpenAI
Adresse e-mail validée de google.com - Page d'accueil
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TensorFlow: Large-scale machine learning on heterogeneous systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
30294*2015
Conditional image synthesis with auxiliary classifier gans
A Odena, C Olah, J Shlens
International conference on machine learning, 2642-2651, 2017
19812017
Understanding LSTM Networks
C Olah
colah.github.io, 2015
1495*2015
Concrete problems in AI safety
D Amodei, C Olah, J Steinhardt, P Christiano, J Schulman, D Mané
arXiv preprint arXiv:1606.06565, 2016
11842016
Deconvolution and Checkerboard Artifacts
A Odena, V Dumoulin, C Olah
Distill, 2016
9542016
Feature visualization
C Olah, A Mordvintsev, L Schubert
Distill 2 (11), e7, 2017
618*2017
Inceptionism: Going deeper into neural networks
A Mordvintsev, C Olah, M Tyka
613*2015
The building blocks of interpretability
C Olah, A Satyanarayan, I Johnson, S Carter, L Schubert, K Ye, ...
Distill 3 (3), e10, 2018
468*2018
Document embedding with paragraph vectors
AM Dai, C Olah, QV Le
arXiv preprint arXiv:1507.07998, 2015
3772015
Activation atlas
S Carter, Z Armstrong, L Schubert, I Johnson, C Olah
Distill 4 (3), e15, 2019
116*2019
Tensorflow: Large-scale machine learning on heterogeneous distributed systems. CoRR abs/1603.04467 (2016)
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467, 2016
1012016
Is generator conditioning causally related to gan performance?
A Odena, J Buckman, C Olsson, T Brown, C Olah, C Raffel, I Goodfellow
International conference on machine learning, 3849-3858, 2018
822018
Attention and augmented recurrent neural networks
C Olah, S Carter
Distill 1 (9), e1, 2016
792016
TensorFlow: large-scale machine learning on heterogeneous distributed systems. arXiv preprint (2016)
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467, 2016
582016
Neural networks, manifolds, and topology
C Olah
512014
Differentiable image parameterizations
A Mordvintsev, N Pezzotti, L Schubert, C Olah
Distill 3 (7), e12, 2018
43*2018
Zoom in: An introduction to circuits
C Olah, N Cammarata, L Schubert, G Goh, M Petrov, S Carter
Distill 5 (3), e00024. 001, 2020
422020
Calculus on computational graphs: Backpropagation
C Olah
362015
Neural Networks, Types, and Functional Programming
C Olah
colah.github.io, 2015
32*2015
Changing model behavior at test-time using reinforcement learning
A Odena, D Lawson, C Olah
arXiv preprint arXiv:1702.07780, 2017
302017
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