| Categorical reparameterization with gumbel-softmax E Jang, S Gu, B Poole arXiv preprint arXiv:1611.01144, 2016 | 6817 | 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 | 5858 | 2020 |
| Continual learning through synaptic intelligence F Zenke, B Poole, S Ganguli International conference on machine learning, 3987-3995, 2017 | 3063 | 2017 |
| DreamFusion: Text-to-3D using 2D Diffusion B Poole, A Jain, JT Barron, B Mildenhall arXiv preprint arXiv:2209.14988, 2022 | 2043 | 2022 |
| Adversarially learned inference V Dumoulin, I Belghazi, B Poole, O Mastropietro, A Lamb, M Arjovsky, ... arXiv preprint arXiv:1606.00704, 2016 | 1893 | 2016 |
| 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 | 1502 | 2020 |
| Imagen video: High definition video generation with diffusion models J Ho, W Chan, C Saharia, J Whang, R Gao, A Gritsenko, DP Kingma, ... arXiv preprint arXiv:2210.02303, 2022 | 1400 | 2022 |
| Unrolled generative adversarial networks L Metz, B Poole, D Pfau, J Sohl-Dickstein arXiv preprint arXiv:1611.02163, 2016 | 1349 | 2016 |
| Variational diffusion models D Kingma, T Salimans, B Poole, J Ho Advances in neural information processing systems 34, 21696-21707, 2021 | 1061 | 2021 |
| 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 | 1012 | 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 | 995 | 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 | 695 | 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 | 659 | 2018 |
| Zero-shot text-guided object generation with dream fields A Jain, B Mildenhall, JT Barron, P Abbeel, B Poole Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 584 | 2022 |
| The Fast Bilateral Solver JT Barron, B Poole European Conference on Computer Vision, 617-632, 2016 | 450 | 2016 |
| 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 | 361 | 2020 |
| 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 | 247 | 2019 |
| 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 | 244 | 2019 |
| Preventing posterior collapse with delta-vaes A Razavi, A Oord, B Poole, O Vinyals arXiv preprint arXiv:1901.03416, 2019 | 207 | 2019 |
| Dreambooth3d: Subject-driven text-to-3d generation A Raj, S Kaza, B Poole, M Niemeyer, N Ruiz, B Mildenhall, S Zada, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 196 | 2023 |
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