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BIP: Boost Invariant Polynomials for Efficient Jet Tagging

BIP: Boost Invariant Polynomials for Efficient Jet Tagging

17 July 2022
José M. Muñoz
Ilyes Batatia
Christoph Ortner
ArXivPDFHTML

Papers citing "BIP: Boost Invariant Polynomials for Efficient Jet Tagging"

6 / 6 papers shown
Title
19 Parameters Is All You Need: Tiny Neural Networks for Particle Physics
19 Parameters Is All You Need: Tiny Neural Networks for Particle Physics
A. Bogatskiy
Timothy Hoffman
Jan T. Offermann
20
3
0
24 Oct 2023
A Geometric Insight into Equivariant Message Passing Neural Networks on
  Riemannian Manifolds
A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds
Ilyes Batatia
13
0
0
16 Oct 2023
Explainable Equivariant Neural Networks for Particle Physics: PELICAN
Explainable Equivariant Neural Networks for Particle Physics: PELICAN
A. Bogatskiy
Timothy Hoffman
David W. Miller
Jan T. Offermann
Xiaoyang Liu
14
24
0
31 Jul 2023
A General Framework for Equivariant Neural Networks on Reductive Lie
  Groups
A General Framework for Equivariant Neural Networks on Reductive Lie Groups
Ilyes Batatia
Mario Geiger
José M. Muñoz
Tess E. Smidt
L. Silberman
Christoph Ortner
AI4CE
14
11
0
31 May 2023
Feature Selection with Distance Correlation
Feature Selection with Distance Correlation
Ranit Das
Gregor Kasieczka
David Shih
19
14
0
30 Nov 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
172
1,100
0
27 Apr 2021
1