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2203.08806
Cited By
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation
15 March 2022
Andreas Adelmann
W. Hopkins
E. Kourlitis
Michael Kagan
Gregor Kasieczka
Claudius Krause
David Shih
Vinicius Mikuni
Benjamin Nachman
K. Pedro
D. Winklehner
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Papers citing
"New directions for surrogate models and differentiable programming for High Energy Physics detector simulation"
8 / 8 papers shown
Title
Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics
Michael Kagan
Lukas Heinrich
32
9
0
31 Aug 2023
PC-Droid: Faster diffusion and improved quality for particle cloud generation
Matthew Leigh
Debasish Sengupta
J. A. Raine
Guillaume Quétant
T. Golling
DiffM
46
14
0
13 Jul 2023
Inductive Simulation of Calorimeter Showers with Normalizing Flows
M. Buckley
Claudius Krause
Ian Pang
David Shih
AI4CE
24
22
0
19 May 2023
CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows
Claudius Krause
David Shih
40
64
0
21 Oct 2021
Style-based quantum generative adversarial networks for Monte Carlo events
Carlos Bravo-Prieto
J. Baglio
M. Cè
A. Francis
D. Grabowska
Stefano Carrazza
GAN
44
40
0
13 Oct 2021
E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once
Benjamin Nachman
Jesse Thaler
35
33
0
18 Jan 2021
Simulating the Time Projection Chamber responses at the MPD detector using Generative Adversarial Networks
A. Maevskiy
F. Ratnikov
A. Zinchenko
V. Riabov
53
12
0
08 Dec 2020
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
78
390
0
20 Oct 2016
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