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ORCIDBerivan Isik
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2020 – today
- 2024
[j4]Francisco Pernice
, Berivan Isik, Tsachy Weissman:
Mutual Information Upper Bounds for Uniform Inputs Through the Deletion Channel. IEEE Trans. Inf. Theory 70(7): 4599-4610 (2024)- [c7]Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi:
Adaptive Compression in Federated Learning via Side Information. AISTATS 2024: 487-495 - [c6]Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu:
Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy. ICML 2024 - [i18]Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo:
Scaling Laws for Downstream Task Performance of Large Language Models. CoRR abs/2402.04177 (2024) - [i17]Onur G. Guleryuz, Philip A. Chou, Berivan Isik, Hugues Hoppe, Danhang Tang, Ruofei Du, Jonathan Taylor, Philip Davidson, Sean Fanello:
Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers. CoRR abs/2402.05887 (2024) - [i16]Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu:
Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy. CoRR abs/2405.02341 (2024) - [i15]Zhoujie Ding, Ken Ziyu Liu, Pura Peetathawatchai, Berivan Isik, Sanmi Koyejo:
On Fairness of Low-Rank Adaptation of Large Models. CoRR abs/2405.17512 (2024) - [i14]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 abs/2406.09366 (2024) - [i13]Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal:
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs. CoRR abs/2406.16797 (2024) - [i12]Pura Peetathawatchai, Wei-Ning Chen, Berivan Isik, Sanmi Koyejo, Albert No:
Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings. CoRR abs/2411.14639 (2024) - 2023
- [j3]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): 58:1-58:29 (2023) - [c5]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: 2055-2059 - [c4]Berivan Isik, Francesco Pase, Deniz Gündüz, Tsachy Weissman, Michele Zorzi:
Sparse Random Networks for Communication-Efficient Federated Learning. ICLR 2023 - [c3]Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No:
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation. NeurIPS 2023 - [i11]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 abs/2303.11473 (2023) - [i10]Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No:
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation. CoRR abs/2306.04924 (2023) - [i9]Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi:
Communication-Efficient Federated Learning through Importance Sampling. CoRR abs/2306.12625 (2023) - 2022
- [j2]Berivan Isik, Tsachy Weissman:
Lossy Compression of Noisy Data for Private and Data-Efficient Learning. IEEE J. Sel. Areas Inf. Theory 3(4): 815-823 (2022) - [c2]Berivan Isik, Tsachy Weissman, Albert No:
An Information-Theoretic Justification for Model Pruning. AISTATS 2022: 3821-3846 - [c1]Berivan Isik, Tsachy Weissman:
Learning under Storage and Privacy Constraints. ISIT 2022: 1844-1849 - [i8]Berivan Isik, Tsachy Weissman:
Learning under Storage and Privacy Constraints. CoRR abs/2202.02892 (2022) - [i7]Berivan Isik, Francesco Pase, Deniz Gündüz, Tsachy Weissman, Michele Zorzi:
Sparse Random Networks for Communication-Efficient Federated Learning. CoRR abs/2209.15328 (2022) - [i6]Berivan Isik, Francisco Pernice, Tsachy Weissman:
Upper bounds on the Rate of Uniformly-Random Codes for the Deletion Channel. CoRR abs/2210.07437 (2022) - 2021
- [i5]Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H.-S. Philip Wong, Armin Alaghi:
Neural Network Compression for Noisy Storage Devices. CoRR abs/2102.07725 (2021) - [i4]Berivan Isik, Albert No, Tsachy Weissman:
Successive Pruning for Model Compression via Rate Distortion Theory. CoRR abs/2102.08329 (2021) - [i3]Berivan Isik:
Neural 3D Scene Compression via Model Compression. CoRR abs/2105.03120 (2021) - [i2]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 abs/2111.08988 (2021) - 2020
- [j1]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): 897-907 (2020) - [i1]Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik, Ayfer Özgür:
rTop-k: A Statistical Estimation Approach to Distributed SGD. CoRR abs/2005.10761 (2020)
Coauthor Index
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