Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
Fuente:
arXiv
Saved in:
| Main Authors: | Spinner, Jonas, Bresó, Victor, de Haan, Pim, Plehn, Tilman, Thaler, Jesse, Brehmer, Johann |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Lorentz-Equivariant Transformer for All of the LHC
by: Brehmer, Johann, et al.
Published: (2024)
by: Brehmer, Johann, et al.
Published: (2024)
Unfolding without Iterations, Adversaries, or Surrogates
by: Ore, Ayodele, et al.
Published: (2026)
by: Ore, Ayodele, et al.
Published: (2026)
Frequentist Uncertainties on Neural Density Ratios with wifi Ensembles
by: Benevedes, Sean, et al.
Published: (2025)
by: Benevedes, Sean, et al.
Published: (2025)
Anomaly Detection in Collider Physics via Factorized Observables
by: Metodiev, Eric M., et al.
Published: (2023)
by: Metodiev, Eric M., et al.
Published: (2023)
Large Language Models -- the Future of Fundamental Physics?
by: Heneka, Caroline, et al.
Published: (2025)
by: Heneka, Caroline, et al.
Published: (2025)
Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data
by: Gambhir, Rikab, et al.
Published: (2025)
by: Gambhir, Rikab, et al.
Published: (2025)
Moment Unfolding
by: Desai, Krish, et al.
Published: (2024)
by: Desai, Krish, et al.
Published: (2024)
Many Wrongs Make a Right: Leveraging Biased Simulations Towards Unbiased Parameter Inference
by: Alvarez, Ezequiel, et al.
Published: (2026)
by: Alvarez, Ezequiel, et al.
Published: (2026)
QCD Theory meets Information Theory
by: Assi, Benoît, et al.
Published: (2025)
by: Assi, Benoît, et al.
Published: (2025)
Log Gaussian Cox Process Background Modeling in High Energy Physics
by: Frid, Yuval, et al.
Published: (2025)
by: Frid, Yuval, et al.
Published: (2025)
Does Lorentz-symmetric design boost network performance in jet physics?
by: Li, Congqiao, et al.
Published: (2022)
by: Li, Congqiao, et al.
Published: (2022)
Towards Universal Unfolding of Detector Effects in High-Energy Physics using Denoising Diffusion Probabilistic Models
by: Pazos, Camila, et al.
Published: (2024)
by: Pazos, Camila, et al.
Published: (2024)
Signal model parameter scan using Normalizing Flow
by: Saito, Masahiko, et al.
Published: (2024)
by: Saito, Masahiko, et al.
Published: (2024)
The role of the Look Elsewhere Effect in determining the significance of an oscillation disappearance search for a light sterile neutrino
by: Ranucci, Gioacchino
Published: (2024)
by: Ranucci, Gioacchino
Published: (2024)
Variance Reduction via Simultaneous Importance Sampling and Control Variates Techniques Using Vegas
by: Shyamsundar, Prasanth, et al.
Published: (2023)
by: Shyamsundar, Prasanth, et al.
Published: (2023)
PanopTag: Simultaneously Tagging All Jets in a Particle Collision Event
by: Qureshi, Umar Sohail, et al.
Published: (2026)
by: Qureshi, Umar Sohail, et al.
Published: (2026)
QCD in Language Models: What do they really know about QCD?
by: Sulc, Antonin, et al.
Published: (2025)
by: Sulc, Antonin, et al.
Published: (2025)
Exploring the Statistical Properties of Outputs from a Process Inspired by Geometrical Interpretation of Newton's Method
by: Kirouani, Taki
Published: (2024)
by: Kirouani, Taki
Published: (2024)
Why Is Attention Sparse In Particle Transformer?
by: Legge, Timothy, et al.
Published: (2025)
by: Legge, Timothy, et al.
Published: (2025)
Surrogate Modelling of Proton Dose with Monte Carlo Dropout Uncertainty Quantification
by: Pim, Aaron, et al.
Published: (2025)
by: Pim, Aaron, et al.
Published: (2025)
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers
by: de Haan, Pim, et al.
Published: (2023)
by: de Haan, Pim, et al.
Published: (2023)
Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models
by: Golling, Tobias, et al.
Published: (2024)
by: Golling, Tobias, et al.
Published: (2024)
Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods
by: Maître, Daniel, et al.
Published: (2024)
by: Maître, Daniel, et al.
Published: (2024)
Transforming Simulation to Data Without Pairing
by: Gendreau-Distler, Eli, et al.
Published: (2025)
by: Gendreau-Distler, Eli, et al.
Published: (2025)
Symmetry-Constrained Forecasting of Periodically Correlated Energy Processes
by: Voyant, Cyril, et al.
Published: (2026)
by: Voyant, Cyril, et al.
Published: (2026)
Jet Tagging with More-Interaction Particle Transformer
by: Wu, Yifan, et al.
Published: (2024)
by: Wu, Yifan, et al.
Published: (2024)
Jet flavor tagging with Particle Transformer for Higgs factories
by: Suehara, Taikan, et al.
Published: (2026)
by: Suehara, Taikan, et al.
Published: (2026)
Observable Optimization for Precision Theory: Machine Learning Energy Correlators
by: Bhattacharya, Arindam, et al.
Published: (2025)
by: Bhattacharya, Arindam, et al.
Published: (2025)
Lorentz Local Canonicalization: How to Make Any Network Lorentz-Equivariant
by: Spinner, Jonas, et al.
Published: (2025)
by: Spinner, Jonas, et al.
Published: (2025)
Effective Energy, Interactions And Out Of Equilibrium Nature Of Scalar Active Matter
by: Brossollet, Antonin, et al.
Published: (2024)
by: Brossollet, Antonin, et al.
Published: (2024)
Geometric Organization and Inference of Shortest Path Nodes in Soft Random Geometric Graphs
by: Qiu, Zhihao, et al.
Published: (2026)
by: Qiu, Zhihao, et al.
Published: (2026)
Tunable correlation retention: A statistical method for generating synthetic data
by: Jävergård, Nicklas, et al.
Published: (2024)
by: Jävergård, Nicklas, et al.
Published: (2024)
Assessing Convergence Patterns Across Modern Nucleon-Nucleon Potentials
by: Millican, P. J., et al.
Published: (2025)
by: Millican, P. J., et al.
Published: (2025)
Discovering the Underlying Analytic Structure Within Standard Model Constants Using Artificial Intelligence
by: Chekanov, S. V., et al.
Published: (2025)
by: Chekanov, S. V., et al.
Published: (2025)
Assessing Correlated Truncation Errors in Modern Nucleon-Nucleon Potentials
by: Millican, P. J., et al.
Published: (2024)
by: Millican, P. J., et al.
Published: (2024)
Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flows
by: Valsecchi, Davide, et al.
Published: (2026)
by: Valsecchi, Davide, et al.
Published: (2026)
Impact of recent updates to neutrino oscillation parameters on the effective Majorana neutrino mass in 0$νββ$ Decay
by: Mei, Dongming, et al.
Published: (2024)
by: Mei, Dongming, et al.
Published: (2024)
Enhancing Precision of Signal Correction in PVES Experiments: The Impact of Bayesian Analysis on the Results of the QWeak and MOLLER Experiments
by: Gorgannejad, Elham, et al.
Published: (2024)
by: Gorgannejad, Elham, et al.
Published: (2024)
Generative Models and Statistical Validation
by: Diefenbacher, Sascha, et al.
Published: (2026)
by: Diefenbacher, Sascha, et al.
Published: (2026)
SkyCURTAINs: Model agnostic search for Stellar Streams with Gaia data
by: Sengupta, Debajyoti, et al.
Published: (2024)
by: Sengupta, Debajyoti, et al.
Published: (2024)
Similar Items
-
A Lorentz-Equivariant Transformer for All of the LHC
by: Brehmer, Johann, et al.
Published: (2024) -
Unfolding without Iterations, Adversaries, or Surrogates
by: Ore, Ayodele, et al.
Published: (2026) -
Frequentist Uncertainties on Neural Density Ratios with wifi Ensembles
by: Benevedes, Sean, et al.
Published: (2025) -
Anomaly Detection in Collider Physics via Factorized Observables
by: Metodiev, Eric M., et al.
Published: (2023) -
Large Language Models -- the Future of Fundamental Physics?
by: Heneka, Caroline, et al.
Published: (2025)