13 citations · 28 across the 6 of their papers we have counts for
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stat.ME2022★ 2 cited
Learning Optimal Test Statistics in the Presence of Nuisance Parameters
Lukas Heinrich
The design of optimal test statistics is a key task in frequentist statistics and for a number of scenarios optimal test statistics such as the profile-likelihood ratio are known.…
physics.ins-det2022★ 8 cited
Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper
Tommaso Dorigo, Andrea Giammanco, Pietro Vischia +33
The full optimization of the design and operation of instruments whose functioning relies on the interaction of radiation with matter is a super-human task, given the large dimensi…
physics.data-an2022★ 13 cited
neos: End-to-End-Optimised Summary Statistics for High Energy Physics
Nathan Simpson, Lukas Heinrich
The advent of deep learning has yielded powerful tools to automatically compute gradients of computations. This is because training a neural network equates to iteratively updating…