Machine Learning in High Energy Physics Community White Paper

• Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations

  2025 Computing and Software for Big Science article Computer Science Adversarial Robustness in Machine Learning Open access

  0

  citations
• Large physics models: towards a collaborative approach with large language models and foundation models

  2025 The European Physical Journal C article Computer Science Artificial Intelligence Applications Open access

  11

  citations
• Les Houches guide to reusable ML models in LHC analyses

  2024 SciPost Physics Community Reports article Decision Sciences Scientific Computing and Data Management Open access

  8

  citations
• Quantum Computing for High-Energy Physics: State of the Art and Challenges

  2024 PRX Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

  213

  citations
• Quantum Computing for High-Energy Physics: State of the Art and Challenges

  2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

  19

  citations
• Improving Robustness of Jet Tagging Algorithms with Adversarial Training

  2022 Computing and Software for Big Science article Computer Science Adversarial Robustness in Machine Learning Open access

  6

  citations
• Autoencoders for unsupervised anomaly detection in high energy physics

  2021 Journal of High Energy Physics article Physics and Astronomy Particle physics theoretical and experimental studies Open access

  100

  citations
• Autoencoders for unsupervised anomaly detection in high energy physics

  2021 RWTH Publications (RWTH Aachen) article Physics and Astronomy Particle physics theoretical and experimental studies Open access

  100

  citations

8 results