| Scalable Bayesian Optimization Using Deep Neural Networks J Snoek, O Rippel, K Swersky, R Kiros, N Satish, N Sundaram, M Patwary, ... Proceedings of the 32nd International Conference on Machine Learning, 2015 | 1275 | 2015 |
| Real-Time Adaptive Image Compression O Rippel, L Bourdev Proceedings of the 34th International Conference on Machine Learning, 2017 | 635 | 2017 |
| Spectral representations for convolutional neural networks O Rippel, J Snoek, RP Adams Advances in neural information processing systems 28, 2015 | 396 | 2015 |
| Metric learning with adaptive density discrimination O Rippel, M Paluri, P Dollar, L Bourdev International Conference on Learning Representations, 2015 | 271 | 2015 |
| Learned video compression O Rippel, S Nair, C Lew, S Branson, AG Anderson, L Bourdev Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 249 | 2019 |
| Avoiding pathologies in very deep networks D Duvenaud, O Rippel, RP Adams, Z Ghahramani Artificial Intelligence and Statistics, 2014 | 188 | 2014 |
| Learning ordered representations with nested dropout O Rippel, MA Gelbart, RP Adams Proceedings of the 31st International Conference on Machine Learning, 2014 | 103 | 2014 |
| High-dimensional probability estimation with deep density models O Rippel, RP Adams arXiv preprint arXiv:1302.5125, 2013 | 99 | 2013 |
| ELF-VC: Efficient Learned Flexible-Rate Video Coding O Rippel, AG Anderson, K Tatwawadi, S Nair, C Lytle, L Bourdev International Conference on Computer Vision, 2021 | 97 | 2021 |
| Autoencoding image residuals for improving upsampled images L Bourdev, C Lew, S Nair, O Rippel US Patent 10,565,499, 2020 | 51 | 2020 |
| Deep learning based adaptive arithmetic coding and codelength regularization O Rippel, L Bourdev US Patent 10,748,062, 2020 | 47 | 2020 |
| Deep learning based on image encoding and decoding O Rippel, L Bourdev US Patent 11,593,632, 2023 | 46 | 2023 |
| Adaptive compression based on content O Rippel, L Bourdev, C Lew, S Nair US Patent 10,402,722, 2019 | 27 | 2019 |
| Using generative adversarial networks in compression O Rippel, L Bourdev, C Lew, S Nair US Patent 11,315,011, 2022 | 19 | 2022 |
| Enhanced coding efficiency with progressive representation O Rippel, L Bourdev US Patent 10,332,001, 2019 | 18 | 2019 |
| Identifying content items using a deep-learning model B Paluri, O Rippel, P Dollar, LD Bourdev | 11 | 2017 |
| Enhanced coding efficiency with progressive representation O Rippel, L Bourdev US Patent 10,977,553, 2021 | 7 | 2021 |
| Adaptive quantization C Lew, S Branson, O Rippel, S Nair, AG Anderson, L Bourdev US Patent 10,594,338, 2020 | 5 | 2020 |
| Pim: Video coding using perceptual importance maps E Pergament, P Tandon, O Rippel, L Bourdev, AG Anderson, ... arXiv preprint arXiv:2212.10674, 2022 | 4 | 2022 |
| Machine-learning based video compression O Rippel, S Nair, C Lew, S Branson, A Anderson, L Bourdev US Patent 10,860,929, 2020 | 4 | 2020 |
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