TIGER: A Topology-Agnostic, Hierarchical Graph Network for Event Reconstruction
Fuente:
arXiv
Saved in:
| Main Authors: | Soybelman, Nathalie, Di Bello, Francesco A., Kakati, Nilotpal, Gross, Eilam |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Denoising Graph Super-Resolution towards Improved Collider Event Reconstruction
by: Kakati, Nilotpal, et al.
Published: (2024)
by: Kakati, Nilotpal, et al.
Published: (2024)
Advancing Set-Conditional Set Generation: Diffusion Models for Fast Simulation of Reconstructed Particles
by: Kobylianskii, Dmitrii, et al.
Published: (2024)
by: Kobylianskii, Dmitrii, et al.
Published: (2024)
Accelerating Graph-based Tracking Tasks with Symbolic Regression
by: Soybelman, Nathalie, et al.
Published: (2024)
by: Soybelman, Nathalie, et al.
Published: (2024)
Set-Conditional Set Generation for Particle Physics
by: Di Bello, Francesco Armando, et al.
Published: (2022)
by: Di Bello, Francesco Armando, et al.
Published: (2022)
HGPflow: Extending Hypergraph Particle Flow to Collider Event Reconstruction
by: Kakati, Nilotpal, et al.
Published: (2024)
by: Kakati, Nilotpal, et al.
Published: (2024)
CaloGraph: Graph-based diffusion model for fast shower generation in calorimeters with irregular geometry
by: Kobylianskii, Dmitrii, et al.
Published: (2024)
by: Kobylianskii, Dmitrii, et al.
Published: (2024)
Self-Supervised Learning Strategies for Jet Physics
by: Rieck, Patrick, et al.
Published: (2025)
by: Rieck, Patrick, et al.
Published: (2025)
Passage of particles through matter and the effective straggling-function: High-fidelity accelerated simulation via Physics-Informed Machine Learning
by: Borysov, Oleksandr, et al.
Published: (2026)
by: Borysov, Oleksandr, et al.
Published: (2026)
Parnassus: An Automated Approach to Accurate, Precise, and Fast Detector Simulation and Reconstruction
by: Dreyer, Etienne, et al.
Published: (2024)
by: Dreyer, Etienne, et al.
Published: (2024)
Point Cloud Deep Learning Methods for Particle Shower Reconstruction in the DHCAL
by: Borysova, Maryna, et al.
Published: (2024)
by: Borysova, Maryna, et al.
Published: (2024)
Conditional Deep Generative Models for Simultaneous Simulation and Reconstruction of Entire Events
by: Dreyer, Etienne, et al.
Published: (2025)
by: Dreyer, Etienne, et al.
Published: (2025)
Exploring DHCAL design and performance with Graph Neural Networks
by: Borysova, M., et al.
Published: (2024)
by: Borysova, M., et al.
Published: (2024)
Learning to Reconstruct: A Differentiable Approach to Muon Tracking at the LHC
by: Coccaro, Andrea, et al.
Published: (2025)
by: Coccaro, Andrea, et al.
Published: (2025)
Jet Reconstruction with Mamba Networks in Collider Events
by: Li, Jinmian, et al.
Published: (2025)
by: Li, Jinmian, et al.
Published: (2025)
GLOW: A Unified Particle Flow Transformer
by: Kobylianskii, Dmitrii, et al.
Published: (2025)
by: Kobylianskii, Dmitrii, et al.
Published: (2025)
Event Topology Classifiers at the Large Hadron Collider
by: Prasad, Suraj, et al.
Published: (2025)
by: Prasad, Suraj, et al.
Published: (2025)
Back to the Formula -- LHC Edition
by: Butter, Anja, et al.
Published: (2021)
by: Butter, Anja, et al.
Published: (2021)
Automatizing the search for mass resonances using BumpNet
by: Arguin, Jean-François, et al.
Published: (2025)
by: Arguin, Jean-François, et al.
Published: (2025)
Graph Neural Network for Neutrino Physics Event Reconstruction
by: Hewes, V, et al.
Published: (2024)
by: Hewes, V, et al.
Published: (2024)
Multi-Modal Track Reconstruction using Graph Neural Networks at Belle II
by: Reuter, Lea, et al.
Published: (2026)
by: Reuter, Lea, et al.
Published: (2026)
Studying Energy-Energy Correlators in pp Collisions at the LHC with a Jet-Free Event-Topology Method
by: Lin, Yazhen, et al.
Published: (2026)
by: Lin, Yazhen, et al.
Published: (2026)
Refine Neutrino Events Reconstruction with BEiT-3
by: Li, Chen, et al.
Published: (2023)
by: Li, Chen, et al.
Published: (2023)
Optimised Graph Convolution for Calorimetry Event Classification
by: Melennec, Matthieu, et al.
Published: (2025)
by: Melennec, Matthieu, et al.
Published: (2025)
No Track left behind: Graph-based Vertexing for long-lived Particle Reconstruction
by: Kriewald, Jonathan
Published: (2025)
by: Kriewald, Jonathan
Published: (2025)
Direct Vertex Reconstruction of $Λ$ Baryons from Hits in CLAS12 using Graph Neural Networks
by: Menkce, Keegan, et al.
Published: (2025)
by: Menkce, Keegan, et al.
Published: (2025)
Observation of a rare beta decay of the charmed baryon with a Graph Neural Network
by: BESIII Collaboration, et al.
Published: (2024)
by: BESIII Collaboration, et al.
Published: (2024)
Neutrino Reconstruction in TRIDENT Based on Graph Neural Network
by: Mo, Cen, et al.
Published: (2024)
by: Mo, Cen, et al.
Published: (2024)
Reweighting and Analysing Event Generator Systematics by Neural Networks on High-Level Features
by: Furuichi, Amon, et al.
Published: (2025)
by: Furuichi, Amon, et al.
Published: (2025)
Photon Reconstruction in the Belle II Calorimeter Using Graph Neural Networks
by: Wemmer, F., et al.
Published: (2023)
by: Wemmer, F., et al.
Published: (2023)
Event-by-Event Direction Reconstruction of Solar Neutrinos in a High Light-Yield Liquid Scintillator
by: Allega, A., et al.
Published: (2023)
by: Allega, A., et al.
Published: (2023)
Enhancing Event Reconstruction in Hyper-Kamiokande with Machine Learning: A ResNet Implementation
by: Atta, Andrew, et al.
Published: (2026)
by: Atta, Andrew, et al.
Published: (2026)
Equivariant, Safe and Sensitive -- Graph Networks for New Physics
by: Bhardwaj, Akanksha, et al.
Published: (2024)
by: Bhardwaj, Akanksha, et al.
Published: (2024)
Event Generators for High-Energy Physics Experiments
by: Campbell, J. M., et al.
Published: (2022)
by: Campbell, J. M., et al.
Published: (2022)
A new look at $b \to s$ observables in 331 models
by: Loparco, Francesco
Published: (2024)
by: Loparco, Francesco
Published: (2024)
Groomed Event Shapes at HERA and the sPHENIX TPC
by: Klest, Henry T.
Published: (2024)
by: Klest, Henry T.
Published: (2024)
Monte Carlo Event Generators
by: Reuter, Jürgen
Published: (2025)
by: Reuter, Jürgen
Published: (2025)
Event generation with Sherpa 3
by: Bothmann, Enrico, et al.
Published: (2024)
by: Bothmann, Enrico, et al.
Published: (2024)
Automatizing the search for mass resonances using BumpNet
by: Arguin, Jean-Francois, et al.
Published: (2025)
by: Arguin, Jean-Francois, et al.
Published: (2025)
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction
by: Lu, Junjian, et al.
Published: (2024)
by: Lu, Junjian, et al.
Published: (2024)
Demonstration of Event Position Reconstruction based on Diffusion in the NEXT-White Detector
by: Haefner, J., et al.
Published: (2023)
by: Haefner, J., et al.
Published: (2023)
Similar Items
-
Denoising Graph Super-Resolution towards Improved Collider Event Reconstruction
by: Kakati, Nilotpal, et al.
Published: (2024) -
Advancing Set-Conditional Set Generation: Diffusion Models for Fast Simulation of Reconstructed Particles
by: Kobylianskii, Dmitrii, et al.
Published: (2024) -
Accelerating Graph-based Tracking Tasks with Symbolic Regression
by: Soybelman, Nathalie, et al.
Published: (2024) -
Set-Conditional Set Generation for Particle Physics
by: Di Bello, Francesco Armando, et al.
Published: (2022) -
HGPflow: Extending Hypergraph Particle Flow to Collider Event Reconstruction
by: Kakati, Nilotpal, et al.
Published: (2024)