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INFERNO: Inference-Aware Neural Optimisation

INFERNO: Inference-Aware Neural Optimisation

12 June 2018
P. D. Castro
T. Dorigo
ArXivPDFHTML

Papers citing "INFERNO: Inference-Aware Neural Optimisation"

6 / 6 papers shown
Title
FAIR Universe HiggsML Uncertainty Challenge Competition
FAIR Universe HiggsML Uncertainty Challenge Competition
W. Bhimji
P. Calafiura
Ragansu Chakkappai
Yuan-Tang Chou
S. Diefenbacher
...
D. Rousseau
Benjamin Sluijter
Benjamin Thorne
Ihsan Ullah
Yulei Zhang
39
2
0
03 Oct 2024
Bias and Priors in Machine Learning Calibrations for High Energy Physics
Bias and Priors in Machine Learning Calibrations for High Energy Physics
Rikab Gambhir
Benjamin Nachman
Jesse Thaler
AI4CE
27
7
0
10 May 2022
Exploring the Universality of Hadronic Jet Classification
Exploring the Universality of Hadronic Jet Classification
K. Cheung
Yi Chung
Shih-Chieh Hsu
Benjamin Nachman
12
2
0
08 Apr 2022
neos: End-to-End-Optimised Summary Statistics for High Energy Physics
neos: End-to-End-Optimised Summary Statistics for High Energy Physics
Nathan Simpson
Lukas Heinrich
BDL
8
17
0
10 Mar 2022
Machine Learning in the Search for New Fundamental Physics
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi
Gregor Kasieczka
S. Kravitz
Benjamin Nachman
David Shih
AI4CE
42
113
0
07 Dec 2021
A Cautionary Tale of Decorrelating Theory Uncertainties
A Cautionary Tale of Decorrelating Theory Uncertainties
A. Ghosh
Benjamin Nachman
30
17
0
16 Sep 2021
1