Berivan Isik - RankMe

36 papers A* 6A 2B 2Journal 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The Magic Correlations: Understanding Knowledge Transfer from Pretraining to Supervised Fine-Tuning. CoRR Simin Fan, Dimitris Paparas, Natasha F. Noy, Binbin Xiong, Noveen Sachdeva, Berivan Isik
2025	J	`jnl`	Efficient Hyperparameter Search for Non-Stationary Model Training. CoRR Berivan Isik, Matthew Fahrbach, Dima Kuzmin, Nicolas Mayoraz, Emil Praun, Steffen Rendle, Raghavendra Vasudeva
2025	A*	`conf`	Leveraging Per-Instance Privacy for Machine Unlearning. ICML Nazanin Mohammadi Sepahvand, Anvith Thudi, Berivan Isik, Ashmita Bhattacharyya, Nicolas Papernot, Eleni Triantafillou, Daniel M. Roy, Gintare Karolina Dziugaite
2025	J	`jnl`	Leveraging Per-Instance Privacy for Machine Unlearning. CoRR Nazanin Mohammadi Sepahvand, Anvith Thudi, Berivan Isik, Ashmita Bhattacharyya, Nicolas Papernot, Eleni Triantafillou, Daniel M. Roy, Gintare Karolina Dziugaite
2025	A*	`conf`	Scaling Laws for Downstream Task Performance in Machine Translation. ICLR Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo
2025	J	`jnl`	Successive Halving with Learning Curve Prediction via Latent Kronecker Gaussian Processes. CoRR Jihao Andreas Lin, Nicolas Mayoraz, Steffen Rendle, Dima Kuzmin, Emil Praun, Berivan Isik
2024	A	`conf`	Adaptive Compression in Federated Learning via Side Information. AISTATS Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi
2024	J	`jnl`	Differentially Private Adaptation of Diffusion Models via Noisy Aggregated Embeddings. CoRR Pura Peetathawatchai, Wei-Ning Chen, Berivan Isik, Sanmi Koyejo, Albert No
2024	J	`jnl`	Improved Communication-Privacy Trade-offs in L CoRR Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu
2024	A*	`conf`	Improved Communication-Privacy Trade-offs in L2 Mean Estimation under Streaming Differential Privacy. ICML Wei-Ning Chen, Berivan Isik, Peter Kairouz, Albert No, Sewoong Oh, Zheng Xu
2024	J	`jnl`	Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs. CoRR Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal
2024	J	`jnl`	Mutual Information Upper Bounds for Uniform Inputs Through the Deletion Channel. IEEE Trans. Inf. Theory Francisco Pernice, Berivan Isik, Tsachy Weissman
2024	J	`jnl`	On Fairness of Low-Rank Adaptation of Large Models. CoRR Zhoujie Ding, Ken Ziyu Liu, Pura Peetathawatchai, Berivan Isik, Sanmi Koyejo
2024	J	`jnl`	Sandwiched Compression: Repurposing Standard Codecs with Neural Network Wrappers. CoRR Onur G. Guleryuz, Philip A. Chou, Berivan Isik, Hugues Hoppe, Danhang Tang, Ruofei Du, Jonathan Taylor, Philip Davidson, Sean Fanello
2024	J	`jnl`	Scaling Laws for Downstream Task Performance of Large Language Models. CoRR Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo
2024	A*	`conf`	Sketching for Distributed Deep Learning: A Sharper Analysis. NeurIPS Mayank Shrivastava, Berivan Isik, Qiaobo Li, Sanmi Koyejo, Arindam Banerjee
2024	J	`jnl`	Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations. CoRR 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
2023	J	`jnl`	Communication-Efficient Federated Learning through Importance Sampling. CoRR Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi
2023	A*	`conf`	Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation. NeurIPS Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No
2023	J	`jnl`	Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation. CoRR Berivan Isik, Wei-Ning Chen, Ayfer Özgür, Tsachy Weissman, Albert No
2023	J	`jnl`	Neural Network Compression for Noisy Storage Devices. ACM Trans. Embed. Comput. Syst. Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H.-S. Philip Wong, Armin Alaghi
2023	B	`conf`	Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers. ICIP Berivan Isik, Onur G. Guleryuz, Danhang Tang, Jonathan Taylor, Philip A. Chou
2023	J	`jnl`	Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers. CoRR Berivan Isik, Onur G. Guleryuz, Danhang Tang, Jonathan Taylor, Philip A. Chou
2023	A*	`conf`	Sparse Random Networks for Communication-Efficient Federated Learning. ICLR Berivan Isik, Francesco Pase, Deniz Gündüz, Tsachy Weissman, Michele Zorzi
2022	A	`conf`	An Information-Theoretic Justification for Model Pruning. AISTATS Berivan Isik, Tsachy Weissman, Albert No
2022	B	`conf`	Learning under Storage and Privacy Constraints. ISIT Berivan Isik, Tsachy Weissman
2022	J	`jnl`	Learning under Storage and Privacy Constraints. CoRR Berivan Isik, Tsachy Weissman
2022	J	`jnl`	Lossy Compression of Noisy Data for Private and Data-Efficient Learning. IEEE J. Sel. Areas Inf. Theory Berivan Isik, Tsachy Weissman
2022	J	`jnl`	Sparse Random Networks for Communication-Efficient Federated Learning. CoRR Berivan Isik, Francesco Pase, Deniz Gündüz, Tsachy Weissman, Michele Zorzi
2022	J	`jnl`	Upper bounds on the Rate of Uniformly-Random Codes for the Deletion Channel. CoRR Berivan Isik, Francisco Pernice, Tsachy Weissman
2021	J	`jnl`	LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks. CoRR Berivan Isik, Philip A. Chou, Sung Jin Hwang, Nick Johnston, George Toderici
2021	J	`jnl`	Neural 3D Scene Compression via Model Compression. CoRR Berivan Isik
2021	J	`jnl`	Neural Network Compression for Noisy Storage Devices. CoRR Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H.-S. Philip Wong, Armin Alaghi
2021	J	`jnl`	Successive Pruning for Model Compression via Rate Distortion Theory. CoRR Berivan Isik, Albert No, Tsachy Weissman
2020	J	`jnl`	rTop-k: A Statistical Estimation Approach to Distributed SGD. CoRR Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik, Ayfer Özgür
2020	J	`jnl`	rTop-k: A Statistical Estimation Approach to Distributed SGD. IEEE J. Sel. Areas Inf. Theory Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik, Ayfer Özgür