GraphNeT is a python package for building, training, and deploying graph neural networks, developed by and for the neutrino telescope community.If you use this software, please cite it as below
This talk will discuss work carried out by the Exa.TrkX collaboration to explore the application of ...
Python code used to train a convolutional neural network (CNN) for the identification of electromagn...
The Jiangmen Underground Neutrino Observatory (JUNO) is an experiment designed to study neutrino osc...
GraphNeT is a python package for building, training, and deploying graph neural networks, developed ...
The Deep Underground Neutrino Experiment (DUNE) is an international effort to build the next-generat...
This paper presents a graph neural network (GNN) technique for low-level reconstruction of neutrino ...
The IceCube Neutrino Observatory is a cubic-kilometer scale neutrino detector embedded in the Antarc...
The Exa.TrkX project presents a graph neural network (GNN) technique for low-level reconstruction of...
The IceAct telescopes are prototype Imaging Air Cherenkov telescopes (IACTs) situated at the IceCube...
Deep-learning tools are being used extensively in high energy physics and are becoming central in th...
IceCube, a cubic-kilometer array of optical sensors built to detect atmospheric and astrophysical ne...
IceCube, a cubic-kilometer array of optical sensors built to detect atmospheric and astrophysical ne...
NeuroCharter is an open-source software that helps in prediction problems in scientific research thr...
Machine learning (ML) techniques, in particular deep neural networks (DNNs) developed in the field o...
In the last years Graph Neural Networks (GNNs) have been developed as a new kind of Deep Learning te...
This talk will discuss work carried out by the Exa.TrkX collaboration to explore the application of ...
Python code used to train a convolutional neural network (CNN) for the identification of electromagn...
The Jiangmen Underground Neutrino Observatory (JUNO) is an experiment designed to study neutrino osc...
GraphNeT is a python package for building, training, and deploying graph neural networks, developed ...
The Deep Underground Neutrino Experiment (DUNE) is an international effort to build the next-generat...
This paper presents a graph neural network (GNN) technique for low-level reconstruction of neutrino ...
The IceCube Neutrino Observatory is a cubic-kilometer scale neutrino detector embedded in the Antarc...
The Exa.TrkX project presents a graph neural network (GNN) technique for low-level reconstruction of...
The IceAct telescopes are prototype Imaging Air Cherenkov telescopes (IACTs) situated at the IceCube...
Deep-learning tools are being used extensively in high energy physics and are becoming central in th...
IceCube, a cubic-kilometer array of optical sensors built to detect atmospheric and astrophysical ne...
IceCube, a cubic-kilometer array of optical sensors built to detect atmospheric and astrophysical ne...
NeuroCharter is an open-source software that helps in prediction problems in scientific research thr...
Machine learning (ML) techniques, in particular deep neural networks (DNNs) developed in the field o...
In the last years Graph Neural Networks (GNNs) have been developed as a new kind of Deep Learning te...
This talk will discuss work carried out by the Exa.TrkX collaboration to explore the application of ...
Python code used to train a convolutional neural network (CNN) for the identification of electromagn...
The Jiangmen Underground Neutrino Observatory (JUNO) is an experiment designed to study neutrino osc...