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ML4Jets2021
ML4Jets2021

6–8 Jul 2021
Europe/Zurich timezone
  • Overview
  • Call for Abstracts
    • Timetable
    • Contribution List
    • Book of Abstracts
    • Registration
    • Participant List
    • Impressions
    • Code of Conduct
    • Slack channel

    Details for David Shih

    Rutgers University

    Author in the following contributions

    • Calorimeter Simulation Challenge Proposal
    • Via Machinae
    • OnlineFlow: Trigger Free Analysis Using Online Learned Generative Models
    • CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows
    • Generative Adversarial Networks for Anomaly Detection at the LHC
    • CATHODE part 2: robustness and comparison to other methods
    • CATHODE part 1: introducing a new model-agnostic search strategy for resonant new physics at the LHC
    CERN
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