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ML4Jets2022

1–4 Nov 2022
Rutgers University
US/Eastern timezone
  • Overview
  • Call for Abstracts
    • Timetable
    • Contribution List
    • Book of Abstracts
    • Registration
    • Participant List
    • Slack Channel
    • Code of Conduct
    • Accommodations and Travel
    • Dining

    Contact

    • ml4jets2022@googlegroups.com

    Details for Ben Nachman

    Lawrence Berkeley National Lab. (US)

    Author in the following contributions

    • Moment Unfolding using Deep Learning
    • A Holistic Approach to Predicting Top Quark Kinematic Properties with the Covariant Particle Transformer
    • Multi-differential Jet Substructure Measurement in High $Q^{2}$ Deep-Inelastic Scattering with the H1 Detector
    • Topological Data Analysis for Collider Events
    • HEP-Sim2Real: creating background templates with normalizing flows
    • Score-based Generative Models for Calorimeter Shower Simulation
    • Generative Models for Resonant Anomaly Detection
    CERN
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