-
Notifications
You must be signed in to change notification settings - Fork 32
/
NOTICE
61 lines (43 loc) · 3.81 KB
/
NOTICE
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Baler
Copyright 2022, Alexander Ekman
Copyright 2022, Axel Gallén
Copyright 2022, Oliver Woolland
Copyright 2023, Fritjof Bengtsson
Copyright 2023, Caterina Doglioni
Copyright 2023, Pratik Jawahar
Copyright 2023, Marta Camps Santasmasas
Copyright 2023, Nicole Skidmore
Copyright 2023, Alma Orucevic-Alagic
Copyright 2023, Radek Skaroupka
Copyright 2023, Shaoxuan Xu
This work includes functions based on previous work by George Dialektakis (https://github.com/Autoencoders-compression-anomaly/Deep-Autoencoders-Data-Compression-GSoC-2021). Specifically the functions marked as with their copyright notice in baler/modules/models.py and baler/modules/utils.py.
Their work is released under the Apache License 2.0 found at https://www.apache.org/licenses/LICENSE-2.0.txt
Copyright 2021 George Dialektakis
This work includes software developed by Michael Oliver (https://github.com/michaeloliverx/python-poetry-docker-example). Specifically baler/Dockerfile and baler/Dockerfile.arm64. Their work is released under the MIT license.
Copyright 2020 Michael Oliver
This work includes software developed by python-poetry and Sébastien Eustace (https://github.com/python-poetry/poetry). Specifically baler/poetry.lock is generated by their software. Their work is released under the MIT license.
Copyright 2018-present Sébastien Eustace
===================================================================================
Baler has received funding from the Alan Turing Institute through
a Turing-Manchester Feasibility Project grant
===================================================================================
Baler was inspired by previous work from:
"Deep Autoencoders for Compression in High Energy Physics" (http://lup.lub.lu.se/student-papers/record/9004751)
Copyright 2020 Eric Wulff, supervised by Caterina Doglioni, Lukas Heinrich and Antonio Boveia
"Tests of Autoencoder Compression of Trigger Jets in the ATLAS Experiment" (http://lup.lub.lu.se/student-papers/record/9012882)
Copyright 2020 Erik Wallin, supervised by Caterina Doglioni
"Deep-compression for High Energy Physics data - Google Summer of Code 2020 Project" (https://medium.com/@hn.gpt1/deep-compression-for-high-energy-physics-data-google-summer-of-code20-3dea5acc7bcf and https://zenodo.org/record/4012511#.ZBxqsi-l3fb)
Copyright 2020 Honey Gupta, supervised by Caterina Doglioni, Lukas Heinrich, Antonio Boveia and Baptiste Ravina
“Autoencoders for Trigger-Level Analysis - 2020 Ohio State Department of Physics Summer Research Program” (https://zenodo.org/record/4323594#.ZBxq2y-l3fY)
Copyright 2020 Sam Roberts, supervised by Antonio Boveia, Caterina Doglioni
"Deep Autoencoders for ATLAS Data Compression - Google Summer of Code 2021 Project" (https://doi.org/10.5281/zenodo.5482611)
Copyright 2021 George Dialektakis, supervised by Caterina Doglioni, Lukas Heinrich and Antonio Boveia (with help by Alex Gekow)
"Evaluation of float-truncation based compression techniques for the ATLAS jet trigger" (http://lup.lub.lu.se/student-papers/record/9049610)
Copyright 2021 Love Kildetoft, supervised by Caterina Doglioni and Antonio Boveia
“Investigation of Autoencoders for Jet Images in Particle Physics” (https://lup.lub.lu.se/student-papers/record/9041079 )
Copyright 2021 Jessica Lastow, supervised by Caterina Doglioni and Antonio Boveia
"Autoencoder Compression in High Energy Physics" (http://lup.lub.lu.se/student-papers/record/9075881)
Copyright 2022 Sten Åstrand, supervised by Caterina Doglioni and Lukas Heinrich
“Autoencoder compression and comparison to PCA - IRIS-HEP fellow (https://iris-hep.org/fellows/70752300.html)
Copyright 2022 Maxym Nauchyk, supervised by Caterina Doglioni and Alexander Ekman
“The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider”, doi: 10.21468/SciPostPhys.12.1.043