arxiv
PublishedJuly 15, 2026 at 4:00 AM
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Physically Consistent Parameter Inference: Transparent Machine Learning Emulation in High Energy Physics and Cosmology
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arXiv:2607.12726v1 Announce Type: cross Abstract: Global fits in high energy physics and cosmology often face the challenge of exploring high-dimensional parameter spaces with computationally expensive or topologically complex likelihood functions. In this work, we present a Machine Learning framewo
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Originally published on arxiv ↗