Itamar Zimerman

Orcid: 0000-0001-8321-0609

According to our database1, Itamar Zimerman authored at least 22 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
Differential Mamba.
CoRR, July, 2025

Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs.
CoRR, June, 2025

Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability.
CoRR, June, 2025

Overflow Prevention Enhances Long-Context Recurrent LLMs.
CoRR, May, 2025

On the Expressivity of Selective State-Space Layers: A Multivariate Polynomial Approach.
CoRR, February, 2025

Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DeciMamba: Exploring the Length Extrapolation Potential of Mamba.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

The Hidden Attention of Mamba Models.
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.
CoRR, 2024

A Unified Implicit Attention Formulation for Gated-Linear Recurrent Sequence Models.
CoRR, 2024

Viewing Transformers Through the Lens of Long Convolutions Layers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

A 2-Dimensional State Space Layer for Spatial Inductive Bias.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Polynomial Adaptation of Large-Scale CNNs for Homomorphic Encryption-Based Secure Inference.
Proceedings of the Cyber Security, Cryptology, and Machine Learning, 2024

Multi-Dimensional Hyena for Spatial Inductive Bias.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
On the Long Range Abilities of Transformers.
CoRR, 2023

2-D SSM: A General Spatial Layer for Visual Transformers.
CoRR, 2023

Sensitive Tuning of Large Scale CNNs for E2E Secure Prediction using Homomorphic Encryption.
CoRR, 2023

Decision S4: Efficient Sequence-Based RL via State Spaces Layers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Focus Your Attention (with Adaptive IIR Filters).
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Efficient Skip Connections Realization for Secure Inference on Encrypted Data.
Proceedings of the Cyber Security, Cryptology, and Machine Learning, 2023

2021
Recovering AES Keys with a Deep Cold Boot Attack.
Proceedings of the 38th International Conference on Machine Learning, 2021


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