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Osama Hanna
Osama Hanna
Research Scientist, GenAI at Meta; University of California, Los Angeles (UCLA)
Verified email at ucla.edu
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Cited by
Cited by
Year
The llama 4 herd: The beginning of a new era of natively multimodal ai innovation
AI Meta
https://ai. meta. com/blog/llama-4-multimodal-intelligence/, checked on 4 (7 …, 2025
2002*2025
Random access schemes in wireless systems with correlated user activity
AE Kalor, OA Hanna, P Popovski
2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018
492018
Differentially private stochastic linear bandits:(almost) for free
O Hanna, AM Girgis, C Fragouli, S Diggavi
IEEE Journal on Selected Areas in Information Theory 5, 135-147, 2024
332024
Quantization of distributed data for learning
OA Hanna, YH Ezzeldin, C Fragouli, S Diggavi
IEEE Journal on Selected Areas in Information Theory 2 (3), 987-1001, 2021
33*2021
On distributed quantization for classification
OA Hanna, YH Ezzeldin, T Sadjadpour, C Fragouli, S Diggavi
IEEE Journal on Selected Areas in Information Theory 1 (1), 237-249, 2020
312020
Contexts can be cheap: Solving stochastic contextual bandits with linear bandit algorithms
OA Hanna, L Yang, C Fragouli
The Thirty Sixth Annual Conference on Learning Theory, 1791-1821, 2023
282023
Solving multi-arm bandit using a few bits of communication
OA Hanna, L Yang, C Fragouli
International Conference on Artificial Intelligence and Statistics, 11215-11236, 2022
252022
Learning from distributed users in contextual linear bandits without sharing the context
O Hanna, L Yang, C Fragouli
Advances in Neural Information Processing Systems 35, 11049-11062, 2022
15*2022
Efficient batched algorithm for contextual linear bandits with large action space via soft elimination
O Hanna, L Yang, C Fragouli
Advances in Neural Information Processing Systems 36, 56772-56783, 2023
112023
Can we break the dependency in distributed detection?
OA Hanna, X Li, C Fragouli, S Diggavi
2022 IEEE International Symposium on Information Theory (ISIT), 2720-2725, 2022
102022
Common information dimension
OA Hanna, X Li, S Diggavi, C Fragouli
2023 IEEE International Symposium on Information Theory (ISIT), 406-411, 2023
72023
Multi-arm bandits over action erasure channels
OA Hanna, M Karakas, LF Yang, C Fragouli
2023 IEEE International Symposium on Information Theory (ISIT), 1312-1317, 2023
62023
ICQuant: Index Coding enables Low-bit LLM Quantization
X Li, O Hanna, C Fragouli, S Diggavi
arXiv preprint arXiv:2505.00850, 2025
42025
On the relation between the common information dimension and wyner common information
OA Hanna, X Li, S Diggavi, C Fragouli
2024 IEEE International Symposium on Information Theory (ISIT), 2311-2316, 2024
42024
Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels
OA Hanna, M Karakas, L Yang, C Fragouli
International Conference on Artificial Intelligence and Statistics, 3898-3906, 2024
32024
Compression for multi-arm bandits
OA Hanna, LF Yang, C Fragouli
IEEE Journal on Selected Areas in Information Theory 3 (4), 773-788, 2023
32023
Feature Compression for Multimodal Multi-Object Tracking
X Li, OA Hanna, C Fragouli, S Diggavi, G Verma, J Bhattacharyya
MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM), 139-143, 2023
22023
Infomae: Pair-efficient cross-modal alignment for multimodal time-series sensing signals
T Kimura, X Li, O Hanna, Y Chen, Y Chen, D Kara, T Wang, J Li, ...
Proceedings of the ACM on Web Conference 2025, 3084-3095, 2025
12025
Learning for bandits under action erasures
O Hanna, M Karakas, LF Yang, C Fragouli
arXiv preprint arXiv:2406.18072, 2024
12024
InfoMAE: Pairing-Efficient Cross-Modal Alignment with Informational Masked Autoencoders for IoT Signals
T Kimura, X Li, O Hanna, Y Chen, Y Chen, D Kara, T Wang, J Li, ...
THE WEB CONFERENCE 2025, 0
1
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Articles 1–20