Berivan Isik

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 27

Top Topics

Lossy Compression

Statistical Estimation

Discrete Cosine Transforms

Top Venues

IEEE J. Sel. Areas Inf. Theory

ACM Trans. Embed. Comput. Syst.

Publications

Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs. CoRR (2024)
Onur G. Guleryuz, Philip A. Chou, Berivan Isik, Hugues Hoppe, Danhang Tang, Ruofei Du, Jonathan Taylor, Philip L. Davidson, Sean Fanello
Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers. CoRR (2024)
Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo
Scaling Laws for Downstream Task Performance of Large Language Models. CoRR (2024)
Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu
Mean Estimation under Streaming Differential Privacy. CoRR (2024)
Francisco Pernice, Berivan Isik, Tsachy Weissman
Mutual Information Upper Bounds for Uniform Inputs Through the Deletion Channel. IEEE Trans. Inf. Theory 70 (7) (2024)
Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi
Adaptive Compression in Federated Learning via Side Information. AISTATS (2024)
Zhoujie Ding, Ken Ziyu Liu, Pura Peetathawatchai, Berivan Isik, Sanmi Koyejo
On Fairness of Low-Rank Adaptation of Large Models. CoRR (2024)
Rylan Schaeffer, Victor Lecomte, Dhruv Bhandarkar Pai, Andres Carranza, Berivan Isik, Alyssa Unell, Mikail Khona, Thomas E. Yerxa, Yann LeCun, SueYeon Chung, Andrey Gromov, Ravid Shwartz-Ziv, Sanmi Koyejo
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations. CoRR (2024)
Berivan Isik, Francesco Pase, Deniz Gündüz, Tsachy Weissman, Michele Zorzi
Sparse Random Networks for Communication-Efficient Federated Learning. ICLR (2023)
Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H.-S. Philip Wong, Armin Alaghi
Neural Network Compression for Noisy Storage Devices. ACM Trans. Embed. Comput. Syst. 22 (3) (2023)
Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation. NeurIPS (2023)
Berivan Isik, Onur G. Guleryuz, Danhang Tang, Jonathan Taylor, Philip A. Chou
Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers. CoRR (2023)
Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi
Communication-Efficient Federated Learning through Importance Sampling. CoRR (2023)
Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation. CoRR (2023)
Berivan Isik, Onur G. Guleryuz, Danhang Tang, Jonathan Taylor, Philip A. Chou
Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers. ICIP (2023)
Berivan Isik, Francisco Pernice, Tsachy Weissman
Upper bounds on the Rate of Uniformly-Random Codes for the Deletion Channel. CoRR (2022)
Berivan Isik, Tsachy Weissman
Learning under Storage and Privacy Constraints. CoRR (2022)
Berivan Isik, Tsachy Weissman
Lossy Compression of Noisy Data for Private and Data-Efficient Learning. IEEE J. Sel. Areas Inf. Theory 3 (4) (2022)
Berivan Isik, Tsachy Weissman, Albert No
An Information-Theoretic Justification for Model Pruning. AISTATS (2022)
Berivan Isik, Tsachy Weissman
Learning under Storage and Privacy Constraints. ISIT (2022)
Berivan Isik, Francesco Pase, Deniz Gündüz, Tsachy Weissman, Michele Zorzi
Sparse Random Networks for Communication-Efficient Federated Learning. CoRR (2022)
Berivan Isik
Neural 3D Scene Compression via Model Compression. CoRR (2021)
Berivan Isik, Albert No, Tsachy Weissman
Successive Pruning for Model Compression via Rate Distortion Theory. CoRR (2021)
Berivan Isik, Philip A. Chou, Sung Jin Hwang, Nick Johnston, George Toderici
LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks. CoRR (2021)
Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H.-S. Philip Wong, Armin Alaghi
Neural Network Compression for Noisy Storage Devices. CoRR (2021)
Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik, Ayfer Özgür
rTop-k: A Statistical Estimation Approach to Distributed SGD. CoRR (2020)
Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik, Ayfer Özgür
rTop-k: A Statistical Estimation Approach to Distributed SGD. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)