Ben Poole
Ben Poole
Research Scientist at Google Brain
Verified email at - Homepage
Cited by
Cited by
Categorical reparameterization with gumbel-softmax
E Jang, S Gu, B Poole
arXiv preprint arXiv:1611.01144, 2016
Adversarially learned inference
V Dumoulin, I Belghazi, B Poole, O Mastropietro, A Lamb, M Arjovsky, ...
arXiv preprint arXiv:1606.00704, 2016
Continual learning through synaptic intelligence
F Zenke, B Poole, S Ganguli
International Conference on Machine Learning, 3987-3995, 2017
Unrolled generative adversarial networks
L Metz, B Poole, D Pfau, J Sohl-Dickstein
arXiv preprint arXiv:1611.02163, 2016
On the expressive power of deep neural networks
M Raghu, B Poole, J Kleinberg, S Ganguli, J Sohl-Dickstein
international conference on machine learning, 2847-2854, 2017
Exponential expressivity in deep neural networks through transient chaos
B Poole, S Lahiri, M Raghu, J Sohl-Dickstein, S Ganguli
Advances in Neural Information Processing Systems, 3504-3512, 2016
Fixing a Broken ELBO
A Alemi, B Poole, I Fischer, J Dillon, RA Saurous, K Murphy
International Conference on Machine Learning, 159-168, 2018
The Fast Bilateral Solver
JT Barron, B Poole
European Conference on Computer Vision, 617-632, 2016
On variational bounds of mutual information
B Poole, S Ozair, A Van Den Oord, A Alemi, G Tucker
International Conference on Machine Learning, 5171-5180, 2019
What makes for good views for contrastive learning?
Y Tian, C Sun, B Poole, D Krishnan, C Schmid, P Isola
arXiv preprint arXiv:2005.10243, 2020
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods
J Sohl-Dickstein, B Poole, S Ganguli
Neuronal dynamics regulating brain and behavioral state transitions
AS Andalman, VM Burns, M Lovett-Barron, M Broxton, B Poole, SJ Yang, ...
Cell 177 (4), 970-985. e20, 2019
Analyzing noise in autoencoders and deep networks
B Poole, J Sohl-Dickstein, S Ganguli
arXiv preprint arXiv:1406.1831, 2014
Improving robustness without sacrificing accuracy with patch gaussian augmentation
RG Lopes, D Yin, B Poole, J Gilmer, ED Cubuk
arXiv preprint arXiv:1906.02611, 2019
Preventing posterior collapse with delta-vaes
A Razavi, A Oord, B Poole, O Vinyals
arXiv preprint arXiv:1901.03416, 2019
Score-based generative modeling through stochastic differential equations
Y Song, J Sohl-Dickstein, DP Kingma, A Kumar, S Ermon, B Poole
arXiv preprint arXiv:2011.13456, 2020
Direction selectivity in Drosophila emerges from preferred-direction enhancement and null-direction suppression
JCS Leong, JJ Esch, B Poole, S Ganguli, TR Clandinin
Journal of Neuroscience 36 (31), 8078-8092, 2016
Categorical reparametrization with gumble-softmax
E Jang, S Gu, B Poole
International Conference on Learning Representations (ICLR 2017), 2017
Weakly-supervised disentanglement without compromises
F Locatello, B Poole, G Rätsch, B Schölkopf, O Bachem, M Tschannen
International Conference on Machine Learning, 6348-6359, 2020
Discrete flows: Invertible generative models of discrete data
D Tran, K Vafa, K Agrawal, L Dinh, B Poole
Advances in Neural Information Processing Systems 32, 14719-14728, 2019
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