LLM embeddings condition generative networks for LHC events, yielding faster convergence, higher quality, and generalization to unseen processes.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
verdicts
UNVERDICTED 3roles
background 1polarities
background 1representative citing papers
Strong-feedback models with bright galaxies match JWST UVLF at z greater than or equal to 10 and predict an extended reionization from z approximately 16 to 6 that fits CMB optical depth within 2 sigma.
Review of 21 cm forest observations as a probe of the epoch of reionization and fundamental physics using the Square Kilometre Array.
citing papers explorer
-
One Generator, Any Process: LLM-Conditioning for the LHC
LLM embeddings condition generative networks for LHC events, yielding faster convergence, higher quality, and generalization to unseen processes.
-
Exploring the Cosmic Dawn through the 21 cm Forest and High-redshift Radio Sources with the SKA
Review of 21 cm forest observations as a probe of the epoch of reionization and fundamental physics using the Square Kilometre Array.