29 citations · 42 across the 8 of their papers we have counts for
16 papers
Code4ML: a Large-scale Dataset of annotated Machine Learning Code
Anastasia Drozdova, Polina Guseva, Ekaterina Trofimova +2
Program code as a data source is gaining popularity in the data science community. Possible applications for models trained on such assets range from classification for data dimens…
Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper
Tommaso Dorigo, Andrea Giammanco, Pietro Vischia +33
The full optimization of the design and operation of instruments whose functioning relies on the interaction of radiation with matter is a super-human task, given the large dimensi…
Online detection of failures generated by storage simulator
Kenenbek Arzymatov, Mikhail Hushchyn, Andrey Sapronov +4
Modern large-scale data-farms consist of hundreds of thousands of storage devices that span distributed infrastructure. Devices used in modern data centers (such as controllers, li…
Vertex and Energy Reconstruction in JUNO with Machine Learning Methods
Zhen Qian, Vladislav Belavin, Vasily Bokov +20
The Jiangmen Underground Neutrino Observatory (JUNO) is an experiment designed to study neutrino oscillations. Determination of neutrino mass ordering and precise measurement of ne…
Machine Learning scientific competitions and datasets
David Rousseau, Andrey Ustyuzhanin
A number of scientific competitions have been organised in the last few years with the objective of discovering innovative techniques to perform typical High Energy Physics tasks,…
A study of Neural networks point source extraction on simulated Fermi/LAT Telescope images
Mariia Drozdova, Anton Broilovskiy, Andrey Ustyuzhanin +1
Astrophysical images in the GeV band are challenging to analyze due to the strong contribution of the background and foreground astrophysical diffuse emission and relatively broad…