| Categorical reparameterization with gumbel-softmax E Jang, S Gu, B Poole arXiv preprint arXiv:1611.01144, 2016 | 1827 | 2016 |
| Adversarially learned inference V Dumoulin, I Belghazi, B Poole, O Mastropietro, A Lamb, M Arjovsky, ... arXiv preprint arXiv:1606.00704, 2016 | 1005 | 2016 |
| Unrolled generative adversarial networks L Metz, B Poole, D Pfau, J Sohl-Dickstein arXiv preprint arXiv:1611.02163, 2016 | 670 | 2016 |
| Continual learning through synaptic intelligence F Zenke, B Poole, S Ganguli International Conference on Machine Learning, 3987-3995, 2017 | 669 | 2017 |
| 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 | 427 | 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 | 326 | 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 | 291* | 2018 |
| The Fast Bilateral Solver JT Barron, B Poole European Conference on Computer Vision, 617-632, 2016 | 250 | 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 | 173* | 2019 |
| Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods J Sohl-Dickstein, B Poole, S Ganguli | 105 | 2014 |
| 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 | 91 | 2020 |
| Analyzing noise in autoencoders and deep networks B Poole, J Sohl-Dickstein, S Ganguli arXiv preprint arXiv:1406.1831, 2014 | 75 | 2014 |
| 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 | 71 | 2019 |
| Preventing posterior collapse with delta-vaes A Razavi, A Oord, B Poole, O Vinyals arXiv preprint arXiv:1901.03416, 2019 | 61 | 2019 |
| 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 | 59 | 2016 |
| 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 | 57 | 2019 |
| Improved generator objectives for gans B Poole, AA Alemi, J Sohl-Dickstein, A Angelova arXiv preprint arXiv:1612.02780, 2016 | 51 | 2016 |
| Categorical reparametrization with gumble-softmax E Jang, S Gu, B Poole International Conference on Learning Representations (ICLR 2017), 2017 | 49 | 2017 |
| Discrete flows: Invertible generative models of discrete data D Tran, K Vafa, KK Agrawal, L Dinh, B Poole arXiv preprint arXiv:1905.10347, 2019 | 40 | 2019 |
| Brain regions engaged by part-and whole-task performance in a video game: a model-based test of the decomposition hypothesis JR Anderson, D Bothell, JM Fincham, AR Anderson, B Poole, Y Qin Journal of cognitive neuroscience 23 (12), 3983-3997, 2011 | 37 | 2011 |
Jascha Sohl-DicksteinGoogle BrainVerified email at google.com
