Baler - Machine Learning Based Compression of Scientific Data

Fritjof Bengtsson Folkesson; Caterina Doglioni; Per Alexander Ekman; Axel Gallén; Pratik Jawahar; Marta Camps Santasmasas; Nicola Skidmore

doi:10.1051/epjconf/202429509023

EPJ

a
b
c
d
e
ap
st
h
plus
ds
pv
ti
qt
am
n

Proceedings

Open Access

EPJ Web of Conferences 295, 09023 (2024)
https://doi.org/10.1051/epjconf/202429509023

Baler - Machine Learning Based Compression of Scientific Data

Fritjof Bengtsson Folkesson¹^*, Caterina Doglioni²^**, Per Alexander Ekman¹^***, Axel Gallén¹^****, Pratik Jawahar²^†, Marta Camps Santasmasas²^‡ and Nicola Skidmore²^§

¹ Lund University
² University of Manchester
³ Uppsala University

^* e-mail: fritjof.folkeson@gmail.com
^** e-mail: caterina.doglioni@manchester.ac.uk
^*** e-mail: alexander.ekman@hep.lu.se
^**** e-mail: axel.lars.gallen@cern.ch
^† e-mail: pratik.jawahar@cern.ch
^‡ e-mail: marta.campssantasmasas@manchester.ac.uk
^§ e-mail: nicola.skidmore@cern.ch

Published online: 6 May 2024

Abstract

A common and growing issue in scientific research and industry is that of storing and sharing ever-increasing datasets. In this paper we document the development and applications of Baler - a Machine Learning based tool for tailored compression of data across multiple disciplines.

© The Authors, published by EDP Sciences, 2024

This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.