Compact Representation of Particle-Collision Events for Physics-Informed Machine Learning

Documenti analoghi

• New Physics Searches at the LHC through Event-based Anomaly Detection and Development of ADFilter Web-tool
  di: Islam, Wasikul, et al.
  Pubblicazione: (2025)
• Enhancing Sensitivity for Di-Higgs Boson Searches Using Anomaly Detection and Supervised Machine Learning Techniques
  di: Chekanov, Sergei V., et al.
  Pubblicazione: (2025)
• ADFilter -- A Web Tool for New Physics Searches With Autoencoder-Based Anomaly Detection Using Deep Unsupervised Neural Networks
  di: Chekanov, Sergei V., et al.
  Pubblicazione: (2024)
• A note on blind technique for new physics searches in particle physics
  di: Chekanov, S. V.
  Pubblicazione: (2021)
• Particle Collisions & Quantum Entanglement in High-Energy Collisions
  di: Gabrielli, Emidio
  Pubblicazione: (2025)