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Scaffolding Simulations with Deep Learning for High-dimensional
  Deconvolution

Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution

10 May 2021
Anders Andreassen
Patrick T. Komiske
E. Metodiev
Benjamin Nachman
Adithya Suresh
Jesse Thaler
    UQCV
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Papers citing "Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution"

4 / 4 papers shown
Title
Generative Unfolding with Distribution Mapping
Generative Unfolding with Distribution Mapping
A. Butter
S. Diefenbacher
Nathan Huetsch
Vinicius Mikuni
Benjamin Nachman
Sofia Palacios Schweitzer
Tilman Plehn
DiffM
51
1
0
04 Nov 2024
Unifying Simulation and Inference with Normalizing Flows
Unifying Simulation and Inference with Normalizing Flows
Haoxing Du
Claudius Krause
Vinicius Mikuni
Benjamin Nachman
Ian Pang
David Shih
47
3
0
29 Apr 2024
Unbinned Profiled Unfolding
Unbinned Profiled Unfolding
Jay Chan
Benjamin Nachman
32
7
0
10 Feb 2023
Machine learning approach to inverse problem and unfolding procedure
Machine learning approach to inverse problem and unfolding procedure
N. Gagunashvili
47
20
0
12 Apr 2010
1