Berivan Isik

According to our database, Berivan Isik authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Mutual Information Upper Bounds for Uniform Inputs Through the Deletion Channel.

Francisco Pernice, Berivan Isik, Tsachy Weissman

IEEE Trans. Inf. Theory, July, 2024

Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings.

Pura Peetathawatchai, Wei-Ning Chen, Berivan Isik, Sanmi Koyejo, Albert No

CoRR, 2024

Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs.

Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal

CoRR, 2024

Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations.

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

CoRR, 2024

On Fairness of Low-Rank Adaptation of Large Models.

Zhoujie Ding, Ken Ziyu Liu, Pura Peetathawatchai, Berivan Isik, Sanmi Koyejo

CoRR, 2024

Improved Communication-Privacy Trade-offs in L₂ Mean Estimation under Streaming Differential Privacy.

Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu

CoRR, 2024

Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers.

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

CoRR, 2024

Scaling Laws for Downstream Task Performance of Large Language Models.

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

CoRR, 2024

Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy.

Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Compression in Federated Learning via Side Information.

Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Neural Network Compression for Noisy Storage Devices.

Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H.-S. Philip Wong, Armin Alaghi

ACM Trans. Embed. Comput. Syst., 2023

Communication-Efficient Federated Learning through Importance Sampling.

Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi

CoRR, 2023

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

Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sparse Random Networks for Communication-Efficient Federated Learning.

Berivan Isik, Francesco Pase, Deniz Gündüz, Tsachy Weissman, Michele Zorzi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

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

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Lossy Compression of Noisy Data for Private and Data-Efficient Learning.

Berivan Isik, Tsachy Weissman

IEEE J. Sel. Areas Inf. Theory, December, 2022

Upper bounds on the Rate of Uniformly-Random Codes for the Deletion Channel.

Berivan Isik, Francisco Pernice, Tsachy Weissman

CoRR, 2022

Learning under Storage and Privacy Constraints.

Berivan Isik, Tsachy Weissman

Proceedings of the IEEE International Symposium on Information Theory, 2022

An Information-Theoretic Justification for Model Pruning.

Berivan Isik, Tsachy Weissman, Albert No

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

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

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

CoRR, 2021

Neural 3D Scene Compression via Model Compression.

Berivan Isik

CoRR, 2021

Successive Pruning for Model Compression via Rate Distortion Theory.

Berivan Isik, Albert No, Tsachy Weissman

CoRR, 2021

2020

rTop-k: A Statistical Estimation Approach to Distributed SGD.

Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik, Ayfer Özgür

IEEE J. Sel. Areas Inf. Theory, 2020