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Oren Rippel

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Real-Time Adaptive Image Compression

Oren Rippel,Lubomir D. Bourdev

ICML, (2017): 2922-2930

Cited by217EIBibtex

Metric Learning with Adaptive Density Discrimination

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

international conference on learning representations, (2016)

Cited by56EIBibtex

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

International Conference on Machine Learning, (2015)

Cited by495EIBibtex

Spectral Representations for Convolutional Neural Networks

Oren Rippel,Jasper Snoek,Ryan P. Adams

Annual Conference on Neural Information Processing Systems, (2015)

Cited by184EIBibtex

Learning Ordered Representations with Nested Dropout

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

ICML, (2014): 1746-1754

Cited by44EIBibtex

Avoiding pathologies in very deep networks

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

JMLR Workshop and Conference Proceedings, (2014): 202-210

Cited by89EIBibtex

High-Dimensional Probability Estimation with Deep Density Models

Oren Rippel,Ryan Prescott Adams

arXiv: Machine Learning, (2013)

Cited by47EIBibtex

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