arXiv Machine Learning July 15, 2026 By Jorge Alda, Jacobo Asorey, Alejandro Mir, Siannah Pe\~naranda

Physically Consistent Parameter Inference: Transparent Machine Learning Emulation in High Energy Physics and Cosmology

Read the original on arXiv Machine Learning →

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.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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