Christopher Olah
Christopher Olah
Research Scientist, Google Brain
Verified email at google.com - Homepage
TitleCited byYear
TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
Software available from tensorflow. org 1 (2), 2015
16001*2015
Conditional image synthesis with auxiliary classifier gans
A Odena, C Olah, J Shlens
Proceedings of the 34th International Conference on Machine Learning-Volumeá…, 2017
9212017
Understanding LSTM Networks
C Olah
colah.github.io, 2015
677*2015
Concrete problems in AI safety
D Amodei, C Olah, J Steinhardt, P Christiano, J Schulman, D ManÚ
arXiv preprint arXiv:1606.06565, 2016
5052016
Deconvolution and Checkerboard Artifacts
A Odena, V Dumoulin, C Olah
Distill, 2016
460*2016
Inceptionism: Going deeper into neural networks
A Mordvintsev, C Olah, M Tyka
375*2015
Document embedding with paragraph vectors
AM Dai, C Olah, QV Le
arXiv preprint arXiv:1507.07998, 2015
2572015
Feature visualization
C Olah, A Mordvintsev, L Schubert
Distill 2 (11), e7, 2017
238*2017
The building blocks of interpretability
C Olah, A Satyanarayan, I Johnson, S Carter, L Schubert, K Ye, ...
Distill 3 (3), e10, 2018
210*2018
Attention and augmented recurrent neural networks
C Olah, S Carter
Distill 1 (9), e1, 2016
432016
Is generator conditioning causally related to gan performance?
A Odena, J Buckman, C Olsson, TB Brown, C Olah, C Raffel, I Goodfellow
arXiv preprint arXiv:1802.08768, 2018
362018
Activation atlas
S Carter, Z Armstrong, L Schubert, I Johnson, C Olah
Distill 4 (3), e15, 2019
29*2019
Neural networks, manifolds, and topology
C Olah
222014
Differentiable image parameterizations
A Mordvintsev, N Pezzotti, L Schubert, C Olah
Distill 3 (7), e12, 2018
202018
Changing model behavior at test-time using reinforcement learning
A Odena, D Lawson, C Olah
arXiv preprint arXiv:1702.07780, 2017
18*2017
Experiments in handwriting with a neural network
S Carter, D Ha, I Johnson, C Olah
Distill 1 (12), e4, 2016
172016
Neural Networks, Types, and Functional Programming
C Olah
colah.github.io, 2015
15*2015
Visualizing representations: Deep learning and human beings
C Olah
Available at colah. github. io/posts/2015-01-Visualizing-Representationsá…, 2015
15*2015
Calculus on computational graphs: Backpropagation
C Olah
152015
Conv nets: A modular perspective
C Olah
colah.github.io, 2014
152014
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Articles 1–20