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Haggai Maron
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Haggai Maron15 visible / 15 total nodes / 37 links

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Co-authorshipWorks onCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onAuthorshipWorks onAuthorshipWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalAuthorshipAuthorshipHaggai MaronAHaggai MaronResearcherTraining Transformers for KV Cache CompressibilityWTraining Transformers f...preprint / 2026Michael BronsteinAMichael BronsteinResearcherYarin GalAYarin GalResearcherYoav GelbergAYoav GelbergResearcherYam EitanAYam EitanResearcherProvably Powerful Graph NetworksWProvably Powerful Graph...preprint / 2020Machine LearningTMachine Learning49008 worksGraph Metanetworks for Processing Diverse Neural ArchitecturesWGraph Metanetworks for ...preprint / 2023Federated Learning with Heterogeneous Architectures using Graph HyperNetworksWFederated Learning with...preprint / 2022Optimizing Tensor Network Contraction Using Reinforcement LearningWOptimizing Tensor Netwo...preprint / 2022Self-Supervised Learning for Domain Adaptation on Point-CloudsWSelf-Supervised Learnin...preprint / 2022A Simple and Universal Rotation Equivariant Point-cloud NetworkWA Simple and Universal ...preprint / 2022Multi-Task Learning as a Bargaining GameWMulti-Task Learning as ...preprint / 2022Equivariant Subgraph Aggregation NetworksWEquivariant Subgraph Ag...preprint / 2022
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Haggai Maron

Researcher

PaperTraining Transformers for KV Cache CompressibilityAuthorship / preprint / 2026PersonMichael BronsteinCo-authorship / ResearcherPersonYarin GalCo-authorship / ResearcherPersonYoav GelbergCo-authorship / ResearcherPersonYam EitanCo-authorship / ResearcherPaperProvably Powerful Graph NetworksAuthorship / preprint / 2020TopicMachine LearningWorks on / 49008 worksPaperGraph Metanetworks for Processing Diverse Neural ArchitecturesAuthorship / preprint / 2023

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