FALCON is a novel conformal prediction technique that learns locally calibrated confidence intervals for neural network surrogates modeling LHC scattering amplitudes.
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hep-ph 2years
2026 2verdicts
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Phenomenological LHC study finds sensitivity to light spin-1 DM mediators in ttbar events and discrimination power from CP-sensitive angular observables in dileptonic final states.
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Local Conformal Predictions for Calibrated Surrogates
FALCON is a novel conformal prediction technique that learns locally calibrated confidence intervals for neural network surrogates modeling LHC scattering amplitudes.
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$t \bar{t}$ production as a window to invisible new physics
Phenomenological LHC study finds sensitivity to light spin-1 DM mediators in ttbar events and discrimination power from CP-sensitive angular observables in dileptonic final states.