Ramon Winterhalder
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    • FASTColor -- Full-color Amplitude Surrogate Toolkit for QCD
    • Amplitude Uncertainties Everywhere All at Once
    • How to Deep-Learn the Theory behind Quark-Gluon Tagging
    • BitHEP - The Limits of Low-Precision ML in HEP
    • Accurate Surrogate Amplitudes with Calibrated Uncertainties
    • Differentiable MadNIS-Lite
    • Event generators for high-energy physics experiments
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    • 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
    • How to GAN LHC Events
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    • MadNIS
    • MadGraph5_aMC@NLO
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FASTColor -- Full-color Amplitude Surrogate Toolkit for QCD

Sep 1, 2025·
Javier Mariño Villadamigo
,
Rikkert Frederix
,
Tilman Plehn
,
Timea Vitos
Ramon Winterhalder
Ramon Winterhalder
· 0 min read
Cite arXiv
Type
Journal article
Last updated on Sep 1, 2025
Ramon Winterhalder
Authors
Ramon Winterhalder
Assistant Professor

Amplitude Uncertainties Everywhere All at Once Aug 1, 2025 →

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