Lorentz Group Equivariant Neural Network for Particle Physics

8 June 2020

Papers citing "Lorentz Group Equivariant Neural Network for Particle Physics"

50 / 101 papers shown

Title
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang Jung Yeon Park Neel Sortur Lawson L. S. Wong Robin G. Walters Robert W. Platt AAML 32 33 0 16 Nov 2022
Moving Frame Net: SE(3)-Equivariant Network for Volumes Mateus Sangalli S. Blusseau Santiago Velasco-Forero Jesús Angulo 54 6 0 07 Nov 2022
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics A. Bogatskiy Timothy Hoffman David W. Miller Jan T. Offermann 16 30 0 01 Nov 2022
Interpretable Geometric Deep Learning via Learnable Randomness Injection Siqi Miao Yunan Luo Miaoyuan Liu Pan Li 19 25 0 30 Oct 2022
Bridging Machine Learning and Sciences: Opportunities and Challenges Taoli Cheng UQCV OOD AI4CE 27 2 0 24 Oct 2022
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks Louis Schatzki Martín Larocca Quynh T. Nguyen F. Sauvage M. Cerezo 31 84 0 18 Oct 2022
A tradeoff between universality of equivariant models and learnability of symmetries Vasco Portilheiro 27 2 0 17 Oct 2022
Theory for Equivariant Quantum Neural Networks Quynh T. Nguyen Louis Schatzki Paolo Braccia Michael Ragone Patrick J. Coles F. Sauvage Martín Larocca M. Cerezo 27 88 0 16 Oct 2022
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers Ayush Khot Mark S. Neubauer Avik Roy AAML 33 16 0 09 Oct 2022
Analysis of (sub-)Riemannian PDE-G-CNNs Gijs Bellaard Daan Bon Gautam Pai B. Smets R. Duits AI4CE 30 12 0 03 Oct 2022
Machine learning and invariant theory Ben Blum-Smith Soledad Villar AI4CE 31 16 0 29 Sep 2022
SELTO: Sample-Efficient Learned Topology Optimization Sören Dittmer David Erzmann Henrik Harms Peter Maass 29 2 0 12 Sep 2022
Deep Neural Network Approximation of Invariant Functions through Dynamical Systems Qianxiao Li T. Lin Zuowei Shen 21 6 0 18 Aug 2022
On the non-universality of deep learning: quantifying the cost of symmetry Emmanuel Abbe Enric Boix-Adserà FedML MLT 30 18 0 05 Aug 2022
BIP: Boost Invariant Polynomials for Efficient Jet Tagging José M. Muñoz Ilyes Batatia Christoph Ortner 24 14 0 17 Jul 2022
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG Eran Zvuloni Jesse Read Antônio H. Ribeiro A. L. Ribeiro Joachim A. Behar 12 21 0 13 Jul 2022
What is an equivariant neural network? Lek-Heng Lim Bradley J. Nelson BDL FedML MLT 32 22 0 15 May 2022
Low Dimensional Invariant Embeddings for Universal Geometric Learning Nadav Dym S. Gortler 21 39 0 05 May 2022
Learning Symmetric Embeddings for Equivariant World Models Jung Yeon Park Ondrej Biza Linfeng Zhao Jan Willem van de Meent Robin G. Walters 23 42 0 24 Apr 2022
Symmetry Group Equivariant Architectures for Physics A. Bogatskiy S. Ganguly Thomas Kipf Risi Kondor David W. Miller ... Jan T. Offermann M. Pettee P. Shanahan C. Shimmin S. Thais AI4CE 19 27 0 11 Mar 2022
A Simple and Universal Rotation Equivariant Point-cloud Network Ben Finkelshtein Chaim Baskin Haggai Maron Nadav Dym 3DPC 27 13 0 02 Mar 2022
Semi-Equivariant GNN Architectures for Jet Tagging D. Murnane S. Thais Jason D. Wong GNN 14 6 0 14 Feb 2022
Particle Transformer for Jet Tagging H. Qu Congqiao Li Sitian Qian ViT MedIm 24 97 0 08 Feb 2022
Möbius Convolutions for Spherical CNNs Thomas W. Mitchel Noam Aigerman Vladimir G. Kim Michael Kazhdan 23 11 0 28 Jan 2022
Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze Han Zheng Zimu Li Junyu Liu Sergii Strelchuk Risi Kondor 50 54 0 14 Dec 2021
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 42 113 0 07 Dec 2021
Residual Pathway Priors for Soft Equivariance Constraints Marc Finzi Gregory W. Benton A. Wilson BDL UQCV 24 50 0 02 Dec 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 19 27 0 19 Oct 2021
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? M. Farrell Blake Bordelon Shubhendu Trivedi C. Pehlevan 15 5 0 14 Oct 2021
Efficient Differentiable Simulation of Articulated Bodies Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin AI4CE 34 55 0 16 Sep 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network Nima Dehmamy Robin G. Walters Yanchen Liu Dashun Wang Rose Yu AI4CE 78 81 0 15 Sep 2021
A FAIR and AI-ready Higgs boson decay dataset Yifan Chen Eliu A. Huerta Javier Mauricio Duarte Philip C. Harris Daniel S. Katz ... Raghav Kansal Sang Eon Park Volodymyr V. Kindratenko Zhizhen Zhao R. Rusack 30 25 0 04 Aug 2021
Particle Convolution for High Energy Physics C. Shimmin 17 15 0 05 Jul 2021
Shared Data and Algorithms for Deep Learning in Fundamental Physics L. Benato E. Buhmann M. Erdmann P. Fackeldey J. Glombitza ... T. Kuhr J. Steinheimer H. Stocker Tilman Plehn K. Zhou PINN OOD 24 15 0 01 Jul 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 23 19 0 12 Jun 2021
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 24 130 0 11 Jun 2021
Encoding Involutory Invariances in Neural Networks Anwesh Bhattacharya M. Mattheakis P. Protopapas 25 1 0 07 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules Johannes Klicpera Florian Becker Stephan Günnemann AI4CE 21 434 0 02 Jun 2021
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators Anindita Maiti Keegan Stoner James Halverson 23 20 0 01 Jun 2021
Symmetry-driven graph neural networks Francesco Farina E. Slade 34 4 0 28 May 2021
Invariant polynomials and machine learning W. Haddadin 32 7 0 26 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 76 185 0 19 Apr 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav L. Varshney 24 6 0 10 Apr 2021
Beyond permutation equivariance in graph networks E. Slade Francesco Farina 29 3 0 25 Mar 2021
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 27 53 0 21 Oct 2020
On the Universality of Rotation Equivariant Point Cloud Networks Nadav Dym Haggai Maron 3DPC 27 78 0 06 Oct 2020
GPU coprocessors as a service for deep learning inference in high energy physics J. Krupa Kelvin Lin M. Acosta Flechas Jack T. Dinsmore Javier Mauricio Duarte ... K. Pedro D. Rankin Natchanon Suaysom Matthew Trahms N. Tran BDL 3DV 8 32 0 20 Jul 2020
Computing Representations for Lie Algebraic Networks N. Shutty Casimir Wierzynski 13 2 0 01 Jun 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 162 308 0 05 Nov 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016