| 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 | 550 | 2015 |
| Real-Time Adaptive Image Compression O Rippel, L Bourdev Proceedings of the 34th International Conference on Machine Learning, 2017 | 280 | 2017 |
| Spectral representations for convolutional neural networks O Rippel, J Snoek, RP Adams Advances in neural information processing systems 28, 2449-2457, 2015 | 201 | 2015 |
| Metric learning with adaptive density discrimination O Rippel, M Paluri, P Dollar, L Bourdev International Conference on Learning Representations, 2015 | 156 | 2015 |
| Avoiding pathologies in very deep networks D Duvenaud, O Rippel, RP Adams, Z Ghahramani Artificial Intelligence and Statistics, 2014 | 109 | 2014 |
| Learned video compression O Rippel, S Nair, C Lew, S Branson, AG Anderson, L Bourdev Proceedings of the IEEE International Conference on Computer Vision, 3454-3463, 2019 | 63 | 2019 |
| High-dimensional probability estimation with deep density models O Rippel, RP Adams arXiv preprint arXiv:1302.5125, 2013 | 51 | 2013 |
| Learning ordered representations with nested dropout O Rippel, MA Gelbart, RP Adams Proceedings of the 31st International Conference on Machine Learning, 2014 | 44 | 2014 |
| Deep learning based on image encoding and decoding O Rippel, L Bourdev US Patent App. 15/439,893, 2018 | 15 | 2018 |
| Prabhat, and RP Adams,“ J Snoek, O Rippel, K Swersky, R Kiros, N Satish, N Sundaram, ... Scalable Bayesian Optimization Using Deep Neural Networks. ArXiv e-prints, 2015 | 12 | 2015 |
| Complex system serviceability method and apparatus R Shah, S Azzaro, R Frowein, E Waldron, S Crowley US Patent App. 10/402,722, 2004 | 7 | 2004 |
| Deep learning based adaptive arithmetic coding and codelength regularization O Rippel, L Bourdev US Patent 10,748,062, 2020 | 5 | 2020 |
| Data compression for machine learning tasks L Bourdev, C Lew, S Nair, O Rippel US Patent App. 15/844,447, 2018 | 5 | 2018 |
| Enhanced coding efficiency with progressive representation O Rippel, L Bourdev US Patent 10,332,001, 2019 | 4 | 2019 |
| Identifying Content Items Using a Deep-Learning Model B Paluri, O Rippel, P Dollar, LD Bourdev US Patent App. 14/981,413, 2017 | 4 | 2017 |
| Using generative adversarial networks in compression O Rippel, L Bourdev, C Lew, S Nair US Patent App. 15/844,449, 2018 | 3 | 2018 |
| Adaptive compression based on content O Rippel, L Bourdev, C Lew, S Nair US Patent 10,402,722, 2019 | 1 | 2019 |
| Machine-learning based video compression O Rippel, S Nair, C Lew, S Branson, A Anderson, L Bourdev US Patent 10,860,929, 2020 | | 2020 |
| Deep learning based adaptive arithmetic coding and codelength regularization O Rippel, L Bourdev US Patent App. 16/918,405, 2020 | | 2020 |
| Deep learning based adaptive arithmetic coding and codelength regularization O Rippel, L Bourdev US Patent App. 16/918,436, 2020 | | 2020 |
Lubomir BourdevWaveOne, Inc.Verified email at wave.one
