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Lorentz-Equivariant Geometric Algebra Transformers for High-Energy
  Physics

Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics

23 May 2024
Jonas Spinner
Victor Bresó
P. D. Haan
Tilman Plehn
Jesse Thaler
Johann Brehmer
    AI4CE
ArXivPDFHTML

Papers citing "Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics"

11 / 11 papers shown
Title
Clifford Group Equivariant Diffusion Models for 3D Molecular Generation
Clifford Group Equivariant Diffusion Models for 3D Molecular Generation
Cong Liu
Sharvaree P. Vadgama
David Ruhe
Erik J Bekkers
Patrick Forré
DiffM
22
0
0
22 Apr 2025
Generative Unfolding with Distribution Mapping
Generative Unfolding with Distribution Mapping
A. Butter
S. Diefenbacher
Nathan Huetsch
Vinicius Mikuni
Benjamin Nachman
Sofia Palacios Schweitzer
Tilman Plehn
DiffM
41
1
0
04 Nov 2024
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics
Md Abrar Jahin
Md. Akmol Masud
Md Wahiduzzaman Suva
M. Mridha
Nilanjan Dey
48
1
0
03 Nov 2024
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph
  Neural Networks
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks
Cong Liu
David Ruhe
Patrick Forré
37
1
0
06 Jun 2024
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular
  Calorimeters Using Convolutional Normalizing Flows
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
Thorsten Buss
F. Gaede
Gregor Kasieczka
Claudius Krause
David Shih
AI4CE
36
6
0
30 May 2024
The Landscape of Unfolding with Machine Learning
The Landscape of Unfolding with Machine Learning
Nathan Huetsch
Javier Marino Villadamigo
Alexander Shmakov
S. Diefenbacher
Vinicius Mikuni
...
Kevin Greif
Benjamin Nachman
D. Whiteson
A. Butter
Tilman Plehn
40
17
0
29 Apr 2024
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant
  Aggregator Network for Particle Physics
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics
A. Bogatskiy
Timothy Hoffman
David W. Miller
Jan T. Offermann
21
30
0
01 Nov 2022
Clifford Neural Layers for PDE Modeling
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter
Rianne van den Berg
Max Welling
Jayesh K. Gupta
AI4CE
62
80
0
08 Sep 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,106
0
27 Apr 2021
A Practical Method for Constructing Equivariant Multilayer Perceptrons
  for Arbitrary Matrix Groups
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi
Max Welling
A. Wilson
79
185
0
19 Apr 2021
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
78
390
0
20 Oct 2016
1