Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors

1 February 2021

Papers citing "Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors"

5 / 5 papers shown

Title
Enhancing Events in Neutrino Telescopes through Deep Learning-Driven Super-Resolution Felix J. Yu Nicholas Kamp Carlos A. Arguelles 62 0 0 16 Aug 2024
Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers D. Koh Pierre Côte de Soux Laura Dominé F. Drielsma R. Itay Qing Lin K. Terao K. Tsang T. Usher 3DV 3DPC 31 7 0 06 Jul 2020
Scalable Deep Convolutional Neural Networks for Sparse, Locally Dense Liquid Argon Time Projection Chamber Data Laura Dominé K. Terao 40 34 0 13 Mar 2019
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 739 3,119 0 04 Jun 2018
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks Benjamin Graham Martin Engelcke Laurens van der Maaten 3DPC 103 1,515 0 28 Nov 2017