| Personalized federated learning using hypernetworks A Shamsian, A Navon, E Fetaya, G Chechik International conference on machine learning, 9489-9502, 2021 | 522 | 2021 |
| Multi-task learning as a bargaining game A Navon, A Shamsian, I Achituve, H Maron, K Kawaguchi, G Chechik, ... arXiv preprint arXiv:2202.01017, 2022 | 266 | 2022 |
| Learning the Pareto Front with Hypernetworks A Navon, A Shamsian, G Chechik, E Fetaya International Conference on Learning Representations, https://openreview.net …, 2020 | 210 | 2020 |
| Personalized federated learning with gaussian processes I Achituve, A Shamsian, A Navon, G Chechik, E Fetaya Advances in Neural Information Processing Systems 34, 8392-8406, 2021 | 154 | 2021 |
| Equivariant architectures for learning in deep weight spaces A Navon, A Shamsian, I Achituve, E Fetaya, G Chechik, H Maron International Conference on Machine Learning, 25790-25816, 2023 | 101 | 2023 |
| A study on the evaluation of generative models E Betzalel, C Penso, A Navon, E Fetaya arXiv preprint arXiv:2206.10935, 2022 | 79 | 2022 |
| Auxiliary learning by implicit differentiation A Navon, I Achituve, H Maron, G Chechik, E Fetaya arXiv preprint arXiv:2007.02693, 2020 | 76 | 2020 |
| GP-Tree: A Gaussian process classifier for few-shot incremental learning I Achituve, A Navon, Y Yemini, G Chechik, E Fetaya International conference on machine learning, 54-65, 2021 | 53 | 2021 |
| Equivariant deep weight space alignment A Navon, A Shamsian, E Fetaya, G Chechik, N Dym, H Maron arXiv preprint arXiv:2310.13397, 2023 | 25 | 2023 |
| Open-vocabulary keyword-spotting with adaptive instance normalization A Navon, A Shamsian, N Glazer, G Hetz, J Keshet ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 23 | 2024 |
| Improved generalization of weight space networks via augmentations A Shamsian, A Navon, DW Zhang, Y Zhang, E Fetaya, G Chechik, ... arXiv preprint arXiv:2402.04081, 2024 | 21 | 2024 |
| Auxiliary learning as an asymmetric bargaining game A Shamsian, A Navon, N Glazer, K Kawaguchi, G Chechik, E Fetaya International Conference on Machine Learning, 30689-30705, 2023 | 15 | 2023 |
| WhisperNER: Unified open named entity and speech recognition G Ayache, M Pirchi, A Navon, A Shamsian, G Hetz, J Keshet arXiv preprint arXiv:2409.08107, 2024 | 7 | 2024 |
| Keyword-guided adaptation of automatic speech recognition A Shamsian, A Navon, N Glazer, G Hetz, J Keshet arXiv preprint arXiv:2406.02649, 2024 | 6 | 2024 |
| Whisper in medusa’s ear: Multi-head efficient decoding for transformer-based asr Y Segal-Feldman, A Shamsian, A Navon, G Hetz, J Keshet ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and …, 2025 | 5 | 2025 |
| GradMetaNet: An Equivariant Architecture for Learning on Gradients Y Gelberg, Y Eitan, A Navon, A Shamsian, M Bronstein, H Maron arXiv preprint arXiv:2507.01649, 2025 | 3 | 2025 |
| FlowTSE: Target Speaker Extraction with Flow Matching A Navon, A Shamsian, Y Segal-Feldman, N Glazer, G Hetz, J Keshet arXiv preprint arXiv:2505.14465, 2025 | 3 | 2025 |
| Data augmentations in deep weight spaces A Shamsian, DW Zhang, A Navon, Y Zhang, M Kofinas, I Achituve, ... arXiv preprint arXiv:2311.08851, 2023 | 3 | 2023 |
| UmbraTTS: Adapting Text-to-Speech to Environmental Contexts with Flow Matching N Glazer, A Navon, Y Segal, A Shamsian, H Segev, A Buchnick, M Pirchi, ... arXiv preprint arXiv:2506.09874, 2025 | 2 | 2025 |
| Capturing between-tasks covariance and similarities using multivariate linear mixed models A Navon, S Rosset | 2 | 2020 |
Aviv ShamsianBar Ilan University, aiOlaVerified email at live.biu.ac.il
