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Krause, Claudius

  1. CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
    2024/10/28 by Krause, Claudius, Giannelli, Michele Faucci, Kasieczka, Gregor +66 · 21 citations
    #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Machine Learning (cs.LG)
  2. Modern Machine Learning for LHC Physicists
    2022/11/02 by Tilman Plehn, Plehn, Tilman, Anja Butter +6 · 10 citations
    Physics and Astronomy · #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Particle Detector Development and Performance #Particle physics theoretical and experimental studies
  3. Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper
    2022/03/22 by T. Dorigo, A. Giammanco, Dorigo, Tommaso +69 · 6 citations
    Engineering · Medicine · Materials Science · #Nuclear reactor physics and engineering #Radiation Therapy and Dosimetry #Electron and X-Ray Spectroscopy Techniques
  4. CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows
    2021/10/21 by Krause, Claudius, Shih, David · 5 citations
    #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
  5. Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties
    2025/05/08 by L. Benato, Benato, Lisa, Giordano, Cristina +11 · 1 voice · 5 citations
    Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Neutrino Physics Research #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an) #hep-ex #hep-ph #physics.data-an
  6. Master formula for one-loop renormalization of bosonic SMEFT operators
    2019/04/16 by Buchalla, Gerhard, Celis, Alejandro, Krause, Claudius +1 · 1 citation
    #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph)
  7. BitHEP -- The Limits of Low-Precision ML in HEP
    2025/04/04 by Claudius Krause, Daohan Wang, Krause, Claudius +3 · 1 voice · 4 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #cs.LG #hep-ex #hep-ph
  8. FAIR Universe HiggsML Uncertainty Dataset and Competition
    2024/10/03 by W. Bhimji, Benato, Lisa, P. Calafiura +44 · 4 citations
    Business, Management and Accounting · Computer Science · Decision Sciences · #Big Data and Business Intelligence #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Research Data Management Practices #Scientific Computing and Data Management #Statistics and Probability (physics.data-an)
  9. New directions for surrogate models and differentiable programming for High Energy Physics detector simulation
    2022/03/15 by Adelmann, Andreas, Hopkins, Walter, Kourlitis, Evangelos +8 · 1 citation
    #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Machine Learning (cs.LG)