2 papers
hep-ph2025
Optimizers for Stabilizing Likelihood-free Inference
G. Bruno De Luca, Benjamin Nachman, Eva Silverstein +1
A growing number of applications in particle physics and beyond use neural networks as unbinned likelihood ratio estimators applied to real or simulated data. Precision requirement…
hep-th2024
Bulk-local dS holography: the Matter with
Gauri Batra, G. Bruno De Luca, Eva Silverstein +2
We propose an algorithm which builds a concrete dual for large-radius 3d de Sitter with a timelike York boundary for both gravity and bulk effective fields. This generalizes the so…