| Categorical reparameterization with gumbel-softmax E Jang, S Gu, B Poole arXiv preprint arXiv:1611.01144, 2016 | 3976 | 2016 |
| Continual learning through synaptic intelligence F Zenke, B Poole, S Ganguli International conference on machine learning, 3987-3995, 2017 | 1657 | 2017 |
| Adversarially learned inference V Dumoulin, I Belghazi, B Poole, O Mastropietro, A Lamb, M Arjovsky, ... arXiv preprint arXiv:1606.00704, 2016 | 1497 | 2016 |
| Unrolled generative adversarial networks L Metz, B Poole, D Pfau, J Sohl-Dickstein arXiv preprint arXiv:1611.02163, 2016 | 1033 | 2016 |
| 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 | 785 | 2020 |
| What makes for good views for contrastive learning? Y Tian, C Sun, B Poole, D Krishnan, C Schmid, P Isola Advances in neural information processing systems 33, 6827-6839, 2020 | 722 | 2020 |
| 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 | 712 | 2017 |
| 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 | 537 | 2019 |
| 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 | 490 | 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 | 489* | 2018 |
| The Fast Bilateral Solver JT Barron, B Poole European Conference on Computer Vision, 617-632, 2016 | 354 | 2016 |
| Variational diffusion models D Kingma, T Salimans, B Poole, J Ho Advances in neural information processing systems 34, 21696-21707, 2021 | 203 | 2021 |
| 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 | 193 | 2020 |
| 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 | 152 | 2019 |
| 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 | 152 | 2019 |
| Preventing posterior collapse with delta-vaes A Razavi, A Oord, B Poole, O Vinyals arXiv preprint arXiv:1901.03416, 2019 | 140 | 2019 |
| Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods J Sohl-Dickstein, B Poole, S Ganguli | 140 | 2014 |
| Analyzing noise in autoencoders and deep networks B Poole, J Sohl-Dickstein, S Ganguli arXiv preprint arXiv:1406.1831, 2014 | 116 | 2014 |
| Categorical reparametrization with gumble-softmax E Jang, S Gu, B Poole International Conference on Learning Representations (ICLR 2017), 2017 | 106 | 2017 |
| Weakly supervised disentanglement with guarantees R Shu, Y Chen, A Kumar, S Ermon, B Poole arXiv preprint arXiv:1910.09772, 2019 | 103 | 2019 |
Jascha Sohl-DicksteinGoogle BrainVerified email at google.com
