Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics

19 February 2024

Papers citing "Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics"

7 / 7 papers shown

Title
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics Md Abrar Jahin Md. Akmol Masud Md Wahiduzzaman Suva M. Mridha Nilanjan Dey 46 1 0 03 Nov 2024
Point Transformer V3: Simpler, Faster, Stronger Xiaoyang Wu Li Jiang Peng-Shuai Wang Zhijian Liu Xihui Liu Yu Qiao Wanli Ouyang Tong He Hengshuang Zhao 77 215 0 15 Dec 2023
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 67 82 0 08 Oct 2022
The Tracking Machine Learning challenge : Throughput phase S. Amrouche L. Basara P. Calafiura D. Emeliyanov Victor Estrade ... E. Moyse D. Rousseau A. Salzburger Andrey Ustyuzhanin J. Vlimant 107 31 0 03 May 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,100 0 27 Apr 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 249 2,009 0 28 Jul 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,230 0 24 Nov 2016