Oren Rippel

17 papers A* 6A 1B 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Drop-In Perceptual Optimization for 3D Gaussian Splatting.
CoRR
Ezgi Özyilkan, Zhiqi Chen, Oren Rippel, Jona Ballé, Kedar Tatwawadi
2022 B conf
An Interactive Annotation Tool for Perceptual Video Compression.
QoMEX
Evgenya Pergament, Pulkit Tandon, Kedar Tatwawadi, Oren Rippel, Lubomir D. Bourdev, Bruno A. Olshausen, Tsachy Weissman, Sachin Katti, Alexander G. Anderson
2021 A* conf
ELF-VC: Efficient Learned Flexible-Rate Video Coding.
ICCV
Oren Rippel, Alexander G. Anderson, Kedar Tatwawadi, Sanjay Nair, Craig Lytle, Lubomir D. Bourdev
2021 J jnl
ELF-VC: Efficient Learned Flexible-Rate Video Coding.
CoRR
Oren Rippel, Alexander G. Anderson, Kedar Tatwawadi, Sanjay Nair, Craig Lytle, Lubomir D. Bourdev
2019 A* conf
Learned Video Compression.
ICCV
Oren Rippel, Sanjay Nair, Carissa Lew, Steve Branson, Alexander G. Anderson, Lubomir D. Bourdev
2018 J jnl
Learned Video Compression.
CoRR
Oren Rippel, Sanjay Nair, Carissa Lew, Steve Branson, Alexander G. Anderson, Lubomir D. Bourdev
2017 A* conf
Real-Time Adaptive Image Compression.
ICML
Oren Rippel, Lubomir D. Bourdev
2017 J jnl
Real-Time Adaptive Image Compression.
CoRR
Oren Rippel, Lubomir D. Bourdev
2016 A* conf
Metric Learning with Adaptive Density Discrimination.
ICLR (Poster)
Oren Rippel, Manohar Paluri, Piotr Dollár, Lubomir D. Bourdev
2015 A* conf
Scalable Bayesian Optimization Using Deep Neural Networks.
ICML
Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, Ryan P. Adams
2015 — conf
Spectral Representations for Convolutional Neural Networks.
NIPS
Oren Rippel, Jasper Snoek, Ryan P. Adams
2015 J jnl
Spectral Representations for Convolutional Neural Networks.
CoRR
Oren Rippel, Jasper Snoek, Ryan P. Adams
2014 A conf
Avoiding pathologies in very deep networks.
AISTATS
David Duvenaud, Oren Rippel, Ryan P. Adams, Zoubin Ghahramani
2014 J jnl
Avoiding pathologies in very deep networks.
CoRR
David Duvenaud, Oren Rippel, Ryan P. Adams, Zoubin Ghahramani
2014 A* conf
Learning Ordered Representations with Nested Dropout.
ICML
Oren Rippel, Michael A. Gelbart, Ryan P. Adams
2014 J jnl
Learning Ordered Representations with Nested Dropout.
CoRR
Oren Rippel, Michael A. Gelbart, Ryan P. Adams
2013 J jnl
High-Dimensional Probability Estimation with Deep Density Models
CoRR
Oren Rippel, Ryan Prescott Adams