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Gilad Yehudai
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Gilad Yehudai11 visible / 11 total nodes / 20 links

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipWorks onAuthorshipWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalGilad YehudaiAGilad YehudaiResearcherGeometric Factual Recall in TransformersWGeometric Factual Recal...preprint / 2026Shauli RavfogelAShauli RavfogelResearcherJoan BrunaAJoan BrunaResearcherAlberto BiettiAAlberto BiettiResearcherLearning a Single Neuron with Gradient MethodsWLearning a Single Neuro...preprint / 2022On the Power and Limitations of Random Features for Understanding Neural NetworksWOn the Power and Limita...preprint / 2022Computation and LanguageTComputation and Language14115 worksLearning a Single Neuron with Bias Using Gradient DescentWLearning a Single Neuro...preprint / 2022Width is Less Important than Depth in ReLU Neural NetworksWWidth is Less Important...preprint / 2022Proving the Lottery Ticket Hypothesis: Pruning is All You NeedWProving the Lottery Tic...preprint / 2020
Person10 links

Gilad Yehudai

Researcher

PaperGeometric Factual Recall in TransformersAuthorship / preprint / 2026PersonShauli RavfogelCo-authorship / ResearcherPersonJoan BrunaCo-authorship / ResearcherPersonAlberto BiettiCo-authorship / ResearcherPaperLearning a Single Neuron with Gradient MethodsAuthorship / preprint / 2022PaperOn the Power and Limitations of Random Features for Understanding Neural NetworksAuthorship / preprint / 2022TopicComputation and LanguageWorks on / 14115 worksPaperLearning a Single Neuron with Bias Using Gradient DescentAuthorship / preprint / 2022

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