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Resonant Anomaly Detection with Multiple Reference Datasets

Resonant Anomaly Detection with Multiple Reference Datasets

20 December 2022
Mayee F. Chen
Benjamin Nachman
Frederic Sala
ArXivPDFHTML

Papers citing "Resonant Anomaly Detection with Multiple Reference Datasets"

7 / 7 papers shown
Title
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
54
113
0
07 Dec 2021
Simulation-Assisted Decorrelation for Resonant Anomaly Detection
Simulation-Assisted Decorrelation for Resonant Anomaly Detection
K. Benkendorfer
L. Le Pottier
Benjamin Nachman
OOD
16
50
0
04 Sep 2020
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
Daniel Y. Fu
Mayee F. Chen
Frederic Sala
Sarah Hooper
Kayvon Fatahalian
Christopher Ré
OffRL
55
112
0
27 Feb 2020
Anomaly Detection with Density Estimation
Anomaly Detection with Density Estimation
Benjamin Nachman
David Shih
26
218
0
14 Jan 2020
Training Complex Models with Multi-Task Weak Supervision
Training Complex Models with Multi-Task Weak Supervision
Alexander Ratner
Braden Hancock
Jared A. Dunnmon
Frederic Sala
Shreyash Pandey
Christopher Ré
30
209
0
05 Oct 2018
Snorkel: Rapid Training Data Creation with Weak Supervision
Snorkel: Rapid Training Data Creation with Weak Supervision
Alexander Ratner
Stephen H. Bach
Henry R. Ehrenberg
Jason Alan Fries
Sen Wu
Christopher Ré
62
1,021
0
28 Nov 2017
Classification without labels: Learning from mixed samples in high
  energy physics
Classification without labels: Learning from mixed samples in high energy physics
E. Metodiev
Benjamin Nachman
Jesse Thaler
CML
33
205
0
09 Aug 2017
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