Oren Rippel

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 8

Top Topics

Video Compression

Top Venues

Publications

Evgenya Pergament, Pulkit Tandon, Kedar Tatwawadi, Oren Rippel, Lubomir D. Bourdev, Bruno A. Olshausen, Tsachy Weissman, Sachin Katti, Alexander G. Anderson
An Interactive Annotation Tool for Perceptual Video Compression. QoMEX (2022)
Oren Rippel, Alexander G. Anderson, Kedar Tatwawadi, Sanjay Nair, Craig Lytle, Lubomir D. Bourdev
ELF-VC: Efficient Learned Flexible-Rate Video Coding. CoRR (2021)
Oren Rippel, Alexander G. Anderson, Kedar Tatwawadi, Sanjay Nair, Craig Lytle, Lubomir D. Bourdev
ELF-VC: Efficient Learned Flexible-Rate Video Coding. ICCV (2021)
Oren Rippel, Sanjay Nair, Carissa Lew, Steve Branson, Alexander G. Anderson, Lubomir D. Bourdev
Learned Video Compression. ICCV (2019)
Oren Rippel, Sanjay Nair, Carissa Lew, Steve Branson, Alexander G. Anderson, Lubomir D. Bourdev
Learned Video Compression. CoRR (2018)
Oren Rippel, Lubomir D. Bourdev
Real-Time Adaptive Image Compression. ICML (2017)
Oren Rippel, Lubomir D. Bourdev
Real-Time Adaptive Image Compression. CoRR (2017)
Oren Rippel, Manohar Paluri, Piotr Dollár, Lubomir D. Bourdev
Metric Learning with Adaptive Density Discrimination. ICLR (Poster) (2016)
Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, Ryan P. Adams
Scalable Bayesian Optimization Using Deep Neural Networks. ICML (2015)
Oren Rippel, Jasper Snoek, Ryan P. Adams
Spectral Representations for Convolutional Neural Networks. NIPS (2015)
Oren Rippel, Jasper Snoek, Ryan P. Adams
Spectral Representations for Convolutional Neural Networks. CoRR (2015)
David Duvenaud, Oren Rippel, Ryan P. Adams, Zoubin Ghahramani
Avoiding pathologies in very deep networks. AISTATS (2014)
David Duvenaud, Oren Rippel, Ryan P. Adams, Zoubin Ghahramani
Avoiding pathologies in very deep networks. CoRR (2014)
Oren Rippel, Michael A. Gelbart, Ryan P. Adams
Learning Ordered Representations with Nested Dropout. ICML (2014)
Oren Rippel, Michael A. Gelbart, Ryan P. Adams
Learning Ordered Representations with Nested Dropout. CoRR (2014)
Oren Rippel, Ryan Prescott Adams
High-Dimensional Probability Estimation with Deep Density Models CoRR (2013)