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  • 1 Lyons

    Published:

    Machine Learning for High Energy Physics

  • 3 Huang

    Published:

    Cluster Shape for Tracking Reconstruction

  • 4 Chauhan

    Published:

    Robustness of the Exa.TrkX Tracking pipeline to noise hits

  • 5 Ballow

    Published:

    Accelerate ExaTrkX Inference with GPUs

  • 6 Xu

    Published:

    Accelerate ExaTrkX Inference with GPUs

  • 16 Akram

    Published:

    GNN for particle trackin in PANDA experiment

  • 7 Ding

    Published:

    Development of root_gnn software package

  • 8 Lin

    Published:

    Development of root_gnn software package

  • 12 Huang

    Published:

    Heterogeneous GNN and Language Models for HEP

  • 9 Reed

    Published:

    Graph Neural Network for Tau identification

  • 2 Wang

    Published:

    Apply ExaTrkX pipeline to Large Radius Tracking (LRT)

  • 15 Schroff

    Published:

    MC Tuning with MC Uncertainties, jax based MC Tuner

  • 11 Xu

    Published:

    GNN for Top physics and Generative Models for HEP

  • 10 Pham

    Published:

    Deep Generative Models for Hadronic Interactions

  • 13 Chen

    Published:

    development of jax based MC Tuner, hadronic interactions simulation

  • 14 Yuen

    Published:

    development of jax based MC Tuner

  • 17 Melkani

    Published:

    Language model for HEP

  • 18 Weaver

    Published:

    Language model for HEP

  • 19 Hu

    Published:

    Deep generative model for hadronic interactions

  • 20 Klair

    Published:

    Tracless B-tagging

  • 22 Ho

    Published:

    Tracless B-tagging

  • 23 Ju

    Published:

    Language model for HEP

  • 24 Huang

    Published:

    Language model for HEP

  • 26 Mishra

    Published:

    LLM for HEP

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