Oren Rippel

According to our database, Oren Rippel authored at least 10 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

An Interactive Annotation Tool for Perceptual Video Compression.

Evgenya Pergament, Pulkit Tandon, Kedar Tatwawadi, Oren Rippel, Lubomir D. Bourdev, Bruno A. Olshausen, Tsachy Weissman, Sachin Katti, Alexander G. Anderson

Proceedings of the 14th International Conference on Quality of Multimedia Experience, 2022

2021

ELF-VC: Efficient Learned Flexible-Rate Video Coding.

Oren Rippel, Alexander G. Anderson, Kedar Tatwawadi, Sanjay Nair, Craig Lytle, Lubomir D. Bourdev

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Learned Video Compression.

Oren Rippel, Sanjay Nair, Carissa Lew, Steve Branson, Alexander G. Anderson, Lubomir D. Bourdev

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2017

Real-Time Adaptive Image Compression.

Oren Rippel, Lubomir D. Bourdev

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Metric Learning with Adaptive Density Discrimination.

Oren Rippel, Manohar Paluri, Piotr Dollár, Lubomir D. Bourdev

Proceedings of the 4th International Conference on Learning Representations, 2016

2015

Spectral Representations for Convolutional Neural Networks.

Oren Rippel, Jasper Snoek, Ryan P. Adams

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Scalable Bayesian Optimization Using Deep Neural Networks.

Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, Ryan P. Adams

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Learning Ordered Representations with Nested Dropout.

Oren Rippel, Michael A. Gelbart, Ryan P. Adams

Proceedings of the 31th International Conference on Machine Learning, 2014

Avoiding pathologies in very deep networks.

David Duvenaud, Oren Rippel, Ryan P. Adams, Zoubin Ghahramani

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

High-Dimensional Probability Estimation with Deep Density Models

Oren Rippel, Ryan Prescott Adams

CoRR, 2013