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2308.16680
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Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics
31 August 2023
Michael Kagan
Lukas Heinrich
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Papers citing
"Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics"
5 / 5 papers shown
End-to-End Optimal Detector Design with Mutual Information Surrogates
K. Wozniak
Stephen Mulligan
J. Kieseler
Markus Klute
Francois Fleuret
Tobias Golling
273
2
0
18 Mar 2025
Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation
Felix Petersen
Christian Borgelt
Aashwin Mishra
Stefano Ermon
255
2
0
10 Oct 2024
Finetuning Foundation Models for Joint Analysis Optimization
M. Vigl
N. Hartman
L. Heinrich
286
19
0
24 Jan 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review
Reviews in Physics (RP), 2023
Baran Hashemi
Claudius Krause
352
25
0
15 Dec 2023
Differentiable Vertex Fitting for Jet Flavour Tagging
Rachel E. C. Smith
Ines Ochoa
Rúben Inácio
Jonathan Shoemaker
Michael Kagan
127
3
0
19 Oct 2023
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