Oren Rippel
Oren Rippel
MIT, Harvard University
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
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
4492015
Real-Time Adaptive Image Compression
O Rippel, L Bourdev
Proceedings of the 34th International Conference on Machine Learning, 2017
2192017
Spectral representations for convolutional neural networks
O Rippel, J Snoek, RP Adams
Advances in neural information processing systems, 2449-2457, 2015
1682015
Metric learning with adaptive density discrimination
O Rippel, M Paluri, P Dollar, L Bourdev
International Conference on Learning Representations, 2015
1332015
Avoiding pathologies in very deep networks
D Duvenaud, O Rippel, RP Adams, Z Ghahramani
Artificial Intelligence and Statistics, 2014
782014
High-dimensional probability estimation with deep density models
O Rippel, RP Adams
arXiv preprint arXiv:1302.5125, 2013
442013
Learning ordered representations with nested dropout
O Rippel, MA Gelbart, RP Adams
Proceedings of the 31st International Conference on Machine Learning, 2014
392014
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
292019
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
112015
Complex system serviceability method and apparatus
R Shah, S Azzaro, R Frowein, E Waldron, S Crowley
US Patent App. 10/402,722, 2004
62004
Deep learning based adaptive arithmetic coding and codelength regularization
O Rippel, L Bourdev
US Patent App. 15/439,895, 2018
52018
Data compression for machine learning tasks
L Bourdev, C Lew, S Nair, O Rippel
US Patent App. 15/844,447, 2018
42018
Using generative adversarial networks in compression
O Rippel, L Bourdev, C Lew, S Nair
US Patent App. 15/844,449, 2018
32018
Identifying Content Items Using a Deep-Learning Model
B Paluri, O Rippel, P Dollar, LD Bourdev
US Patent App. 14/981,413, 2017
32017
Enhanced coding efficiency with progressive representation
O Rippel, L Bourdev
US Patent 10,332,001, 2019
12019
Adaptive quantization
C Lew, S Branson, O Rippel, S Nair, AG Anderson, L Bourdev
US Patent 10,594,338, 2020
2020
Autoencoding image residuals for improving upsampled images
L Bourdev, C Lew, S Nair, O Rippel
US Patent 10,565,499, 2020
2020
Machine-Learning Based Video Compression
O Rippel, S Nair, C Lew, S Branson, A Anderson, L Bourdev
US Patent App. 16/183,469, 2020
2020
Dynamic control for a machine learning autoencoder
O Rippel, L Bourdev
US Patent App. 16/518,647, 2020
2020
Adaptive compression based on content
O Rippel, L Bourdev, C Lew, S Nair
US Patent 10,402,722, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–20