Ramon Winterhalder
  • Home
  • Papers
  • Experience
  • Projects
  • Recent & Upcoming Talks
    • Example Talk
  • Publications
    • Accurate Surrogate Amplitudes with Calibrated Uncertainties
    • Differentiable MadNIS-Lite
    • Event generators for high-energy physics experiments
    • Full and approximated NLO predictions for like-sign W-boson scattering at the LHC
    • The MadNIS reloaded
    • Precision-Machine Learning for the Matrix Element Method
    • Elsa: enhanced latent spaces for improved collider simulations
    • Like-sign W-boson scattering at the LHC — approximations and full next-to-leading-order predictions
    • Machine learning and LHC event generation
    • MadNIS - Neural multi-channel importance sampling
    • Modern Machine Learning for LHC Physicists
    • Ephemeral Learning - Augmenting Triggers with Online-Trained Normalizing Flows
    • Publishing unbinned differential cross section results
    • Targeting multi-loop integrals with neural networks
    • Latent Space Refinement for Deep Generative Models
    • How to GAN Event Unweighting
    • How to GAN : Novel simulation methods for the LHC
    • How to GAN away Detector Effects
    • How to GAN Event Subtraction
    • Invertible Networks or Partons to Detector and Back Again
    • An example preprint / working paper
    • How to GAN LHC Events
    • An example journal article
    • An example conference paper
  • Projects
    • MadNIS
    • MadGraph5_aMC@NLO
  • Projects
  • Blog
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Experience
  • Teaching
    • Learn JavaScript
    • Learn Python

How to GAN : Novel simulation methods for the LHC

Jan 1, 2020·
Ramon Peter Winterhalder
· 0 min read
Cite DOI
Type
Thesis
Last updated on Jan 1, 2020
← How to GAN Event Unweighting Jan 1, 2021
How to GAN away Detector Effects Jan 1, 2020 →

© 2025 Ramon Winterhalder