Itamar Zimerman

According to our database, Itamar Zimerman authored at least 28 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Faithfulness Serum: Mitigating the Faithfulness Gap in Textual Explanations of LLM Decisions via Attribution Guidance.

Bar Alon, Itamar Zimerman, Lior Wolf

CoRR, April, 2026

TensorLens: End-to-End Transformer Analysis via High-Order Attention Tensors.

Ido Atad, Itamar Zimerman, Shahar Katz, Lior Wolf

CoRR, January, 2026

CLIMP: Contrastive Language-Image Mamba Pretraining.

Nimrod Shabtay, Itamar Zimerman, Eli Schwartz, Raja Giryes

CoRR, January, 2026

Neural Brain Fields: A NeRF-Inspired Approach for Generating Nonexistent EEG Electrodes.

Shahar Ain Kedem, Itamar Zimerman, Eliya Nachmani

CoRR, January, 2026

2025

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs.

Roy Eisenstadt, Itamar Zimerman, Lior Wolf

CoRR, June, 2025

Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability.

Yarden Bakish, Itamar Zimerman, Hila Chefer, Lior Wolf

CoRR, June, 2025

Overflow Prevention Enhances Long-Context Recurrent LLMs.

Assaf Ben-Kish, Itamar Zimerman, Muhammad Jehanzeb Mirza, James R. Glass, Leonid Karlinsky, Raja Giryes

CoRR, May, 2025

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach.

Edo Cohen-Karlik, Itamar Zimerman, Liane Galanti, Ido Atad, Amir Globerson, Lior Wolf

CoRR, February, 2025

Differential Mamba.

Nadav Schneider, Itamar Zimerman, Eliya Nachmani

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Efficient Decoding Methods for Language Models on Encrypted Data.

Matan Avitan, Moran Baruch, Nir Drucker, Itamar Zimerman, Yoav Goldberg

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation.

Itamar Zimerman, Ameen Ali, Lior Wolf

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DeciMamba: Exploring the Length Extrapolation Potential of Mamba.

Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhancing Cold Boot Attacks with Probabilistic-Guided SAT-Solvers.

Daniel Berend, Amit Cohen, Shahar Golan, Boris Tsirkin, Yochai Twitto, Itamar Zimerman

Proceedings of the Cryptology and Network Security - 24th International Conference, 2025

The Hidden Attention of Mamba Models.

Ameen Ali, Itamar Zimerman, Lior Wolf

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Power-Softmax: Towards Secure LLM Inference over Encrypted Data.

Itamar Zimerman, Allon Adir, Ehud Aharoni, Matan Avitan, Moran Baruch, Nir Drucker, Jenny Lerner, Ramy Masalha, Reut Meiri, Omri Soceanu

CoRR, 2024

A Unified Implicit Attention Formulation for Gated-Linear Recurrent Sequence Models.

Itamar Zimerman, Ameen Ali, Lior Wolf

CoRR, 2024

Viewing Transformers Through the Lens of Long Convolutions Layers.

Itamar Zimerman, Lior Wolf

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption.

Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A 2-Dimensional State Space Layer for Spatial Inductive Bias.

Ethan Baron, Itamar Zimerman, Lior Wolf

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Polynomial Adaptation of Large-Scale CNNs for Homomorphic Encryption-Based Secure Inference.

Moran Baruch, Nir Drucker, Gilad Ezov, Yoav Goldberg, Eyal Kushnir, Jenny Lerner, Omri Soceanu, Itamar Zimerman

Proceedings of the Cyber Security, Cryptology, and Machine Learning, 2024

Multi-Dimensional Hyena for Spatial Inductive Bias.

Itamar Zimerman, Lior Wolf

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

On the Long Range Abilities of Transformers.

Itamar Zimerman, Lior Wolf

CoRR, 2023

2-D SSM: A General Spatial Layer for Visual Transformers.

Ethan Baron, Itamar Zimerman, Lior Wolf

CoRR, 2023

Sensitive Tuning of Large Scale CNNs for E2E Secure Prediction using Homomorphic Encryption.

Moran Baruch, Nir Drucker, Gilad Ezov, Eyal Kushnir, Jenny Lerner, Omri Soceanu, Itamar Zimerman

CoRR, 2023

Decision S4: Efficient Sequence-Based RL via State Spaces Layers.

Shmuel Bar-David, Itamar Zimerman, Eliya Nachmani, Lior Wolf

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Focus Your Attention (with Adaptive IIR Filters).

Shahar Lutati, Itamar Zimerman, Lior Wolf

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Efficient Skip Connections Realization for Secure Inference on Encrypted Data.

Nir Drucker, Itamar Zimerman

Proceedings of the Cyber Security, Cryptology, and Machine Learning, 2023

2021

Recovering AES Keys with a Deep Cold Boot Attack.

Itamar Zimerman, Eliya Nachmani, Lior Wolf

Proceedings of the 38th International Conference on Machine Learning, 2021