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Berivan Isik

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Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers

Feb 08, 2024
Onur G. Guleryuz, Philip A. Chou, Berivan Isik, Hugues Hoppe, Danhang Tang, Ruofei Du, Jonathan Taylor, Philip Davidson, Sean Fanello

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Scaling Laws for Downstream Task Performance of Large Language Models

Feb 06, 2024
Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo

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Communication-Efficient Federated Learning through Importance Sampling

Jun 25, 2023
Berivan Isik, Francesco Pase, Deniz Gunduz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi

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Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation

Jun 08, 2023
Berivan Isik, Wei-Ning Chen, Ayfer Ozgur, Tsachy Weissman, Albert No

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Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers

Mar 20, 2023
Berivan Isik, Onur G. Guleryuz, Danhang Tang, Jonathan Taylor, Philip A. Chou

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Sparse Random Networks for Communication-Efficient Federated Learning

Sep 30, 2022
Berivan Isik, Francesco Pase, Deniz Gunduz, Tsachy Weissman, Michele Zorzi

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Learning under Storage and Privacy Constraints

Feb 07, 2022
Berivan Isik, Tsachy Weissman

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LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks

Nov 17, 2021
Berivan Isik, Philip A. Chou, Sung Jin Hwang, Nick Johnston, George Toderici

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Neural 3D Scene Compression via Model Compression

May 07, 2021
Berivan Isik

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