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Tommer D. Keidar

9 papers hereh-index 655 citations10 works total

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

author position
  • first author4
  • middle author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cond-mat.stat-mech5
  • cs.LG2
  • physics.chem-ph2

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedFirst-Passage Approach to Optimizing Perturbations for Improved Training of Machine Learning Models

3 citations · 6 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

cond-mat.stat-mech2026

Localization Delocalization Transition in Diffusion with Adaptive Resetting

Tommer D. Keidar, Shlomi Reuveni

Stochastic resetting can localize diffusion and generate nonequilibrium steady states, but the conditions under which spatially dependent resetting produces localization remain unc…

physics.chem-ph2026

Stochastic Resetting: A Non-Equilibrium Framework for Prediction, Inference and Design

Tommer D. Keidar, Sagi Meir, Nir Sherf +4

Stochastic resetting has evolved from a simple model of diffusive search acceleration into a general framework for predicting, inferring, and controlling stochastic dynamics far fr…

cs.LG2026

More Bang for the Buck: Improving the Inference of Large Language Models at a Fixed Budget using Reset and Discard (ReD)

Sagi Meir, Tommer D. Keidar, Noam Levi +2

The performance of large language models (LLMs) on verifiable tasks is usually measured by pass@k, the probability of answering a question correctly at least once in k trials. At a…

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