| The Hidden Attention of Mamba Models A Ali, I Zimerman, L Wolf arXiv preprint arXiv:2403.01590, 2024 | 46 | 2024 |
| Decision s4: Efficient sequence-based rl via state spaces layers SB David, I Zimerman, E Nachmani, L Wolf The Eleventh International Conference on Learning Representations, 2022 | 29 | 2022 |
| A 2-dimensional state space layer for spatial inductive bias E Baron, I Zimerman, L Wolf The Twelfth International Conference on Learning Representations, 2023 | 22* | 2023 |
| Converting transformers to polynomial form for secure inference over homomorphic encryption I Zimerman, M Baruch, N Drucker, G Ezov, O Soceanu, L Wolf Forty-first International Conference on Machine Learning, 2023 | 19 | 2023 |
| Sensitive tuning of large scale CNNs for E2E secure prediction using homomorphic encryption M Baruch, N Drucker, G Ezov, E Kushnir, J Lerner, O Soceanu, ... International Symposium on Cyber Security, Cryptology, and Machine Learning, 2023 | 9* | 2023 |
| Focus your attention (with adaptive iir filters) S Lutati, I Zimerman, L Wolf The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 7 | 2023 |
| DeciMamba: Exploring the Length Extrapolation Potential of Mamba A Ben-Kish, I Zimerman, S Abu-Hussein, N Cohen, A Globerson, L Wolf, ... The Thirteenth International Conference on Learning Representations, 2024 | 5 | 2024 |
| A Unified Implicit Attention Formulation for Gated-Linear Recurrent Sequence Models I Zimerman, A Ali, L Wolf The Thirteenth International Conference on Learning Representations, 2024 | 5 | 2024 |
| Viewing Transformers Through the Lens of Long Convolutions Layers I Zimerman, L Wolf Forty-first International Conference on Machine Learning, 2024 | 5* | 2024 |
| Power-Softmax: Towards Secure LLM Inference over Encrypted Data I Zimerman, A Adir, E Aharoni, M Avitan, M Baruch, N Drucker, J Lerner, ... arXiv preprint arXiv:2410.09457, 2024 | 4 | 2024 |
| Multi-dimensional hyena for spatial inductive bias I Zimerman, L Wolf International Conference on Artificial Intelligence and Statistics, 973-981, 2024 | 4 | 2024 |
| Decision s4: Efficient sequence-based rl via state spaces layers S Bar-David, I Zimerman, E Nachmani, L Wolf The Eleventh International Conference on Learning Representations, 2023 | 4 | 2023 |
| Algorithms for reconstructing DDoS attack graphs using probabilistic packet marking D Barak-Pelleg, D Berend, TJ Robinson, I Zimmerman arXiv preprint arXiv:2304.05123, 2023 | 4 | 2023 |
| Recovering AES keys with a deep cold boot attack I Zimerman, E Nachmani, L Wolf International Conference on Machine Learning, 12955-12966, 2021 | 3 | 2021 |
| Efficient skip connections realization for secure inference on encrypted data N Drucker, I Zimerman International Symposium on Cyber Security, Cryptology, and Machine Learning …, 2023 | 1 | 2023 |
| On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach E Cohen-Karlik, I Zimerman, L Galanti, I Atad, A Globerson, L Wolf arXiv preprint arXiv:2502.02209, 2025 | | 2025 |
| Polynomial Approximation of Deep Learning Models I Zimerman, J Lerner, M Baruch, N Drucker US Patent App. 18/137,175, 2024 | | 2024 |
| Accelerating privacy-preserving neural networks and an efficient skip-connection realization thereof I Zimerman, N Drucker, M Baruch, O Soceanu US Patent App. 18/127,700, 2024 | | 2024 |
| Training neural networks with non-polynomial elements for homomorphic encryption computations using sub-networks and multi-loss I Zimerman, N Drucker US Patent App. 18/182,746, 2024 | | 2024 |
| Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation I Zimerman, A Ali, L Wolf arXiv preprint arXiv:2405.16504, 2024 | | 2024 |
