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Itamar Zimerman

TAU

24 papers hereh-index 11383 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author14
  • last author4

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.LG16
  • cs.CR3
  • cs.CV3
  • cs.CL1
  • eess.SP1
affiliations
  • TAU
same name
  • Itamar Zimerman — 4 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedConverting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption

6 citations · 21 across the 21 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.LG2024

Power-Softmax: Towards Secure LLM Inference over Encrypted Data

Itamar Zimerman, Allon Adir, Ehud Aharoni +7

Modern cryptographic methods for implementing privacy-preserving LLMs such as \gls{HE} require the LLMs to have a polynomial form. Forming such a representation is challenging beca…

cs.LG2024

DeciMamba: Exploring the Length Extrapolation Potential of Mamba

Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein +4

Long-range sequence processing poses a significant challenge for Transformers due to their quadratic complexity in input length. A promising alternative is Mamba, which demonstrate…

cs.LG2024★ 1 cited

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

Itamar Zimerman, Ameen Ali, Lior Wolf

Recent advances in efficient sequence modeling have led to attention-free layers, such as Mamba, RWKV, and various gated RNNs, all featuring sub-quadratic complexity in sequence le…

cs.LG2024★ 5 cited

The Hidden Attention of Mamba Models

Ameen Ali, Itamar Zimerman, Lior Wolf

The Mamba layer offers an efficient selective state space model (SSM) that is highly effective in modeling multiple domains, including NLP, long-range sequence processing, and comp…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.