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Berivan Isik
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rTop-k: A Statistical Estimation Approach to Distributed SGD
B Isik*, LP Barnes*, HA Inan*, A Özgür
IEEE Journal on Selected Areas in Information Theory 1 (3), 897 - 907, 2020
502020
An information-theoretic justification for model pruning
B Isik, T Weissman, A No
International Conference on Artificial Intelligence and Statistics, 3821-3846, 2022
32*2022
Lvac: Learned volumetric attribute compression for point clouds using coordinate based networks
B Isik, P Chou, SJ Hwang, N Johnston, G Toderici
Frontiers in Signal Processing, 65, 2022
252022
Sparse random networks for communication-efficient federated learning
B Isik, F Pase, D Gunduz, T Weissman, M Zorzi
International Conference on Learning Representations (ICLR), 2023
232023
Neural network compression for noisy storage devices
B Isik, K Choi, X Zheng, T Weissman, S Ermon, HSP Wong, A Alaghi
ACM Transactions on Embedded Computing Systems 22 (3), 1-29, 2023
9*2023
Neural 3d scene compression via model compression
B Isik
IEEE/CVF Computer Vision and Pattern Recognition Conference Workshops, 2021
82021
Successive pruning for model compression via rate distortion theory
B Isik, A No, T Weissman
arXiv preprint arXiv:2102.08329, 2021
72021
Learning under storage and privacy constraints
B Isik, T Weissman
2022 IEEE International Symposium on Information Theory (ISIT), 1844-1849, 2022
62022
Communication-Efficient Federated Learning through Importance Sampling
B Isik, F Pase, D Gunduz, S Koyejo, T Weissman, M Zorzi
International Conference on Artificial Intelligence and Statistics, 2024
42024
GPT-Zip: Deep Compression of Finetuned Large Language Models
B Isik, H Kumbong, W Ning, X Yao, S Koyejo, C Zhang
Workshop on Efficient Systems for Foundation Models @ICML2023, 2023
42023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation
B Isik, WN Chen, A Ozgur, T Weissman, A No
Advances in Neural Information Processing Systems 36, 2024
32024
Scaling Laws for Downstream Task Performance of Large Language Models
B Isik, N Ponomareva, H Hazimeh, D Paparas, S Vassilvitskii, S Koyejo
arXiv preprint arXiv:2402.04177, 2024
32024
Sandwiched video compression: Efficiently extending the reach of standard codecs with neural wrappers
B Isik, OG Guleryuz, D Tang, J Taylor, PA Chou
IEEE International Conference on Image Processing (ICIP), 2023
32023
Lossy compression of noisy data for private and data-efficient learning
B Isik, T Weissman
IEEE Journal on Selected Areas in Information Theory, 2023
12023
Learned volumetric attribute compression using coordinate-based networks
PA Chou, B Isik, SJ Hwang, NM Johnston, GD Toderici
US Patent 11,900,525, 2024
2024
Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers
OG Guleryuz, PA Chou, B Isik, H Hoppe, D Tang, R Du, J Taylor, ...
arXiv preprint arXiv:2402.05887, 2024
2024
Mutual information upper bounds for uniform inputs through the deletion channel
F Pernice, B Isik, T Weissman
IEEE Transactions on Information Theory, 2024
2024
An Information-Theoretic Understanding of Maximum Manifold Capacity Representations
B Isik, V Lecomte, R Schaeffer, Y LeCun, M Khona, R Shwartz-Ziv, ...
NeurIPS 2023, UniReps: the First Workshop on Unifying Representations in …, 2023
2023
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