Cover Image

NuGraph2 with Explainability: Post-hoc Explanations for Geometric Neural Network Predictions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Voetberg, Margaret, Grizzi, Vitor F., Cerati, Giuseppe, Meidani, Hadi, Hewes, V
Format:	Preprint
Published:	2025
Subjects:	High Energy Physics - Experiment
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

NuGraph2 with Context-Aware Inputs: Physics-Inspired Improvements in Semantic Segmentation
by: Grizzi, Vitor F., et al.
Published: (2025)

Graph Neural Network for Neutrino Physics Event Reconstruction
by: Hewes, V, et al.
Published: (2024)

The NuMI Neutrino Flux Prediction at ICARUS
by: Wood, Anthony
Published: (2025)

First Estimation of Model Parameters for Neutrino-Induced Nucleon Knockout Using Simulation-Based Inference
by: Tame-Narvaez, Karla, et al.
Published: (2026)

Explainable Equivariant Neural Networks for Particle Physics: PELICAN
by: Bogatskiy, Alexander, et al.
Published: (2023)

Observation of a rare beta decay of the charmed baryon with a Graph Neural Network
by: BESIII Collaboration, et al.
Published: (2024)

Search for Double Beta Plus Decays with NuDoubt++
by: Girard-Carillo, Cloé
Published: (2025)

Exploring DHCAL design and performance with Graph Neural Networks
by: Borysova, M., et al.
Published: (2024)

NuFit-6.0: Updated global analysis of three-flavor neutrino oscillations
by: Esteban, Ivan, et al.
Published: (2024)

NuFast-Earth: Efficient Atmospheric, Solar, and Supernova Neutrino Propagation Through the Earth
by: Denton, Peter B., et al.
Published: (2025)

NuHepMC: A standardized event record format for neutrino event generators
by: Gardiner, S., et al.
Published: (2023)

Post-hoc regularisation of unfolded cross-section measurements
by: Koch, Lukas
Published: (2022)

NuSTAR as an Axion Helioscope
by: Ruz, J., et al.
Published: (2024)

Measurement of muon (anti-)neutrino charged-current quasielastic-like cross section using off-axis NuMI beam at ICARUS
by: ICARUS Collaboration, et al.
Published: (2026)

New multinucleon knockout model in NuWro Monte Carlo generator
by: Prasad, Hemant, et al.
Published: (2024)

Search for the production of Higgs-portal scalar bosons in the NuMI beam using the MicroBooNE detector
by: MicroBooNE collaboration, et al.
Published: (2025)

Fast and Accurate Algorithm for Calculating Long-Baseline Neutrino Oscillation Probabilities with Matter Effects: NuFast
by: Denton, Peter B., et al.
Published: (2024)

Search for Double Beta Plus Decays with NuDoubt++
by: Schoppmann, Stefan
Published: (2025)

Boosting Sensitivity to $HH\to b\bar{b} γγ$ with Graph Neural Networks and XGBoost
by: Belfkir, Mohamed, et al.
Published: (2025)

From Reachability to Learnability: Geometric Design Principles for Quantum Neural Networks
by: Ngairangbam, Vishal S., et al.
Published: (2026)

Pipeline for performance evaluation of flavour tagging dedicated Graph Neural Network algorithms
by: Brianti, Greta, et al.
Published: (2023)

Multi-Modal Track Reconstruction using Graph Neural Networks at Belle II
by: Reuter, Lea, et al.
Published: (2026)

Lie-Equivariant Quantum Graph Neural Networks
by: Neto, Jogi Suda, et al.
Published: (2024)

Graph Neural Network Acceleration on FPGAs for Fast Inference in Future Muon Triggers at HL-LHC
by: Errico, Martino, et al.
Published: (2025)

Graph Neural Network Flavor Tagger and measurement of $\mathrm{sin}2β$ at Belle II
by: Stavroulakis, Petros
Published: (2025)

Photon Reconstruction in the Belle II Calorimeter Using Graph Neural Networks
by: Wemmer, F., et al.
Published: (2023)

Evaluating the ratio of the exclusive vector meson photoproduction to inclusive hadron/jet production cross section in ultraperipheral heavy ion collisions
by: Lovato, Joao Vitor C., et al.
Published: (2025)

Neutrino Reconstruction in TRIDENT Based on Graph Neural Network
by: Mo, Cen, et al.
Published: (2024)

Using Graph Neural Networks for hadronic clustering and to reduce beam background in the Belle~II electromagnetic calorimeter
by: Eppelt, Jonas, et al.
Published: (2026)

Direct Vertex Reconstruction of $Λ$ Baryons from Hits in CLAS12 using Graph Neural Networks
by: Menkce, Keegan, et al.
Published: (2025)

NuTag: proof-of-concept study for a long-baseline neutrino beam
by: Baratto-Roldán, Anna, et al.
Published: (2024)

The Ghent Hybrid Model in NuWro: a new neutrino single-pion production model in the GeV regime
by: Yan, Qiyu, et al.
Published: (2024)

Improving smuon searches with Neural Networks
by: Cornell, Alan S., et al.
Published: (2024)

Probing SMEFT Operators through $t\bar{t}t\bar{t}$ Production with Hyper-Graph Neural Networks at the LHC
by: Subba, Amir, et al.
Published: (2026)

Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC
by: Ali, Syed Haider, et al.
Published: (2025)

Equivariant, Safe and Sensitive -- Graph Networks for New Physics
by: Bhardwaj, Akanksha, et al.
Published: (2024)

E-PCN: Jet Tagging with Explainable Particle Chebyshev Networks Using Kinematic Features
by: Islam, Md Raqibul, et al.
Published: (2025)

Guided Graph Compression for Quantum Graph Neural Networks
by: Casals, Mikel, et al.
Published: (2025)

Triaxial shapes and the angular structure of nuclear three-body correlations
by: Mehrabpour, Hadi, et al.
Published: (2026)

Towards a Robust Exclusion of the Sterile-Neutrino Explanation of Short-Baseline Anomalies
by: Rodrigues, Ohana Benevides, et al.
Published: (2025)