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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"
6 / 6 papers shown
Title
End-to-End Optimal Detector Design with Mutual Information Surrogates
K. Wozniak
Stephen Mulligan
J. Kieseler
Markus Klute
Francois Fleuret
Tobias Golling
48
1
0
18 Mar 2025
Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation
Felix Petersen
Christian Borgelt
Aashwin Mishra
Stefano Ermon
21
1
0
10 Oct 2024
Finetuning Foundation Models for Joint Analysis Optimization
M. Vigl
N. Hartman
L. Heinrich
22
11
0
24 Jan 2024
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review
Baran Hashemi
Claudius Krause
24
16
0
15 Dec 2023
Differentiable Vertex Fitting for Jet Flavour Tagging
Rachel E. C. Smith
Ines Ochoa
Rúben Inácio
Jonathan Shoemaker
Michael Kagan
11
3
0
19 Oct 2023
Novel Light Field Imaging Device with Enhanced Light Collection for Cold Atom Clouds
S. Cheong
J. Frisch
S. Gasiorowski
J. Hogan
Michael Kagan
M. Safdari
A. Schwartzman
M. Vandegar
11
3
0
23 May 2022
1