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Found 2 papers, 1 papers with code
Lattice real-time simulations with learned optimal kernels
We present a simulation strategy for the real-time dynamics of quantum fields, inspired by reinforcement learning.
Beyond Cuts in Small Signal Scenarios -- Enhanced Sneutrino Detectability Using Machine Learning
We investigate enhancing the sensitivity of new physics searches at the LHC by machine learning in the case of background dominance and a high degree of overlap between the observables for signal and background.
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