Learning representations of irregular particle-detector geometry with
distance-weighted graph networks

Learning representations of irregular particle-detector geometry with distance-weighted graph networks

21 February 2019

Papers citing "Learning representations of irregular particle-detector geometry with distance-weighted graph networks"

15 / 15 papers shown

Title
Graph Structure from Point Clouds: Geometric Attention is All You Need D. Murnane GNN 3DPC 6 4 0 31 Jul 2023
Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling Yongshuai Huang Ning Lu Dapeng Chen Yibo Li Zecheng Xie Shenggao Zhu Liangcai Gao Wei Peng 28 26 0 13 Mar 2023
Configurable calorimeter simulation for AI applications F. D. Di Bello Anton Charkin-Gorbulin Kyle Cranmer Etienne Dreyer S. Ganguly ... Lorenzo Santi Marumi Kado N. Kakati P. Rieck Matteo Tusoni 11 9 0 03 Mar 2023
Do graph neural networks learn traditional jet substructure? Farouk Mokhtar Raghav Kansal Javier Mauricio Duarte GNN 34 11 0 17 Nov 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 51 82 0 07 Sep 2022
End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks S. Qasim N. Chernyavskaya J. Kieseler K. Long O. Viazlo M. Pierini R. Nawaz 21 23 0 04 Apr 2022
Machine Learning for Particle Flow Reconstruction at CMS J. Pata Javier Mauricio Duarte Farouk Mokhtar Eric Wulff J. Yoo J. Vlimant M. Pierini M. Girone 30 24 0 01 Mar 2022
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting Jiabin Tang Tang Qian Shikun Liu Shengdong Du Jie Hu Tianrui Li AI4TS 24 22 0 25 Feb 2022
Graph Neural Networks for Charged Particle Tracking on FPGAs Abdelrahman Elabd Vesal Razavimaleki Shih-Yu Huang Javier Mauricio Duarte M. Atkinson ... Bo-Cheng Lai Mark S. Neubauer I. Ojalvo S. Thais Matthew Trahms GNN 33 35 0 03 Dec 2021
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance S. Tsan Raghav Kansal Anthony Aportela Daniel Madrigal Diaz Javier Mauricio Duarte S. Krishna Farouk Mokhtar J. Vlimant M. Pierini 18 19 0 24 Nov 2021
Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks K. Hashmi Marcus Liwicki D. Stricker Muhammad Adnan Afzal Muhammad Ahtsham Afzal Muhammad Zeshan Afzal LMTD 38 48 0 29 Apr 2021
Graph Generative Models for Fast Detector Simulations in High Energy Physics A. Hariri Darya Dyachkova Sergei Gleyzer AI4CE 24 6 0 05 Apr 2021
Charged particle tracking via edge-classifying interaction networks G. Dezoort S. Thais Javier Mauricio Duarte Vesal Razavimaleki M. Atkinson I. Ojalvo Mark S. Neubauer P. Elmer 25 46 0 30 Mar 2021
Table Structure Recognition using Top-Down and Bottom-Up Cues S. Raja Ajoy Mondal C. V. Jawahar LMTD 19 76 0 09 Oct 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations John Tencer Kevin Potter AI4CE 13 13 0 11 Jun 2020