Graph Neural Network for Neutrino Physics Event Reconstruction
Fuente:
arXiv
Saved in:
| Main Authors: | Hewes, V, Aurisano, Adam, Cerati, Giuseppe, Kowalkowski, Jim, Lee, Claire, Liao, Wei-keng, Grzenda, Daniel, Gumpula, Kaushal, Zhang, Xiaohe |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks
by: Sutcliffe, William, et al.
Published: (2025)
by: Sutcliffe, William, et al.
Published: (2025)
End-to-End Multi-Track Reconstruction using Graph Neural Networks at Belle II
by: Reuter, Lea, et al.
Published: (2024)
by: Reuter, Lea, et al.
Published: (2024)
Temporal Graph Neural Networks for Early Anomaly Detection and Performance Prediction via PV System Monitoring Data
by: Mukherjee, Srijani, et al.
Published: (2025)
by: Mukherjee, Srijani, et al.
Published: (2025)
XENONnT Analysis: Signal Reconstruction, Calibration and Event Selection
by: XENON Collaboration, et al.
Published: (2024)
by: XENON Collaboration, et al.
Published: (2024)
Bridging Worlds: Achieving Language Interoperability between Julia and Python in Scientific Computing
by: Osborne, Ianna, et al.
Published: (2024)
by: Osborne, Ianna, et al.
Published: (2024)
Network Reconstruction via Jeffreys Prior under Missing Sufficient Statistics
by: Duong, Minh Duc, et al.
Published: (2026)
by: Duong, Minh Duc, et al.
Published: (2026)
Learnability Window in Gated Recurrent Neural Networks
by: Livi, Lorenzo
Published: (2025)
by: Livi, Lorenzo
Published: (2025)
Resolution and Robustness Bounds for Reconstructive Spectrometers
by: Zhu, Changyan, et al.
Published: (2025)
by: Zhu, Changyan, et al.
Published: (2025)
Using Machine Learning to Separate Cherenkov and Scintillation Light in Hybrid Neutrino Detector
by: Bat, Ayse
Published: (2024)
by: Bat, Ayse
Published: (2024)
Enhancing Graph Topology and Clustering Quality: A Modularity-Guided Approach
by: Wang, Yongyu, et al.
Published: (2023)
by: Wang, Yongyu, et al.
Published: (2023)
Convolutional Neural Networks For Turbulent Model Uncertainty Quantification
by: Chu, Minghan, et al.
Published: (2024)
by: Chu, Minghan, et al.
Published: (2024)
Graph Frequency Features of Cancer Gene Co-Expression Networks
by: Adel, Radwa, et al.
Published: (2023)
by: Adel, Radwa, et al.
Published: (2023)
Improve the estimate of the b-value in regional catalogs by means of the the b-more positive method
by: Lippiello, Eugenio, et al.
Published: (2025)
by: Lippiello, Eugenio, et al.
Published: (2025)
NuBench: An Open Benchmark for Deep Learning-Based Event Reconstruction in Neutrino Telescopes
by: Orsoe, Rasmus F., et al.
Published: (2025)
by: Orsoe, Rasmus F., et al.
Published: (2025)
Toward Dynamic Stability Assessment of Power Grid Topologies using Graph Neural Networks
by: Nauck, Christian, et al.
Published: (2022)
by: Nauck, Christian, et al.
Published: (2022)
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)
A General Solution for Network Models with Pairwise Edge Coupling
by: Catanzaro, Alessio, et al.
Published: (2025)
by: Catanzaro, Alessio, et al.
Published: (2025)
Position: Solve Layerwise Linear Models First to Understand Neural Dynamical Phenomena (Neural Collapse, Emergence, Lazy/Rich Regime, and Grokking)
by: Nam, Yoonsoo, et al.
Published: (2025)
by: Nam, Yoonsoo, et al.
Published: (2025)
EggNet: An Evolving Graph-based Graph Attention Network for Particle Track Reconstruction
by: Calafiura, Paolo, et al.
Published: (2024)
by: Calafiura, Paolo, et al.
Published: (2024)
Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data
by: Ziatdinov, Maxim
Published: (2024)
by: Ziatdinov, Maxim
Published: (2024)
Efficient Training of Deep Neural Operator Networks via Randomized Sampling
by: Karumuri, Sharmila, et al.
Published: (2024)
by: Karumuri, Sharmila, et al.
Published: (2024)
Physical meaning of principal component analysis for classical lattice systems with translational invariance
by: Park, Su-Chan
Published: (2024)
by: Park, Su-Chan
Published: (2024)
Identifying Extreme Events in the Stock Market: A Topological Data Analysis
by: Rai, Anish, et al.
Published: (2024)
by: Rai, Anish, et al.
Published: (2024)
How Ground Deformation Influences Earthquake Occurrence During the Ongoing Unrest at Campi Flegrei (2005-Present)
by: Godano, Cataldo, et al.
Published: (2025)
by: Godano, Cataldo, et al.
Published: (2025)
Effectiveness of Contact Tracing on Networks with Cliques
by: Rizi, Abbas K., et al.
Published: (2023)
by: Rizi, Abbas K., et al.
Published: (2023)
Tracking Dynamical Transitions using Link Density of Recurrence Networks
by: Jacob, Rinku, et al.
Published: (2024)
by: Jacob, Rinku, et al.
Published: (2024)
Learning thermodynamically constrained equations of state with uncertainty
by: Sharma, Himanshu, et al.
Published: (2023)
by: Sharma, Himanshu, et al.
Published: (2023)
Copula-based analytical results of horizontal visibility graphs for correlated time series
by: Lee, Jeong-Min, et al.
Published: (2025)
by: Lee, Jeong-Min, et al.
Published: (2025)
Building a Life Cycle Assessment Model using Bayesian Networks
by: Gasmi, Cedric Fraces, et al.
Published: (2024)
by: Gasmi, Cedric Fraces, et al.
Published: (2024)
Physics-based linear regression for high-dimensional forward uncertainty quantification
by: Wang, Ziqi
Published: (2024)
by: Wang, Ziqi
Published: (2024)
Probabilistic Analysis of Event-Mode Experimental Data
by: Bentley, Phillip M., et al.
Published: (2025)
by: Bentley, Phillip M., et al.
Published: (2025)
Guidelines for the Creation of Analysis Ready Data
by: Phillips, Harriette, et al.
Published: (2024)
by: Phillips, Harriette, et al.
Published: (2024)
Uncertainty Propagation within Chained Models for Machine Learning Reconstruction of Neutrino-LAr Interactions
by: Douglas, Daniel, et al.
Published: (2024)
by: Douglas, Daniel, et al.
Published: (2024)
Learning Efficient Representations of Neutrino Telescope Events
by: Yu, Felix J., et al.
Published: (2024)
by: Yu, Felix J., et al.
Published: (2024)
Evidential Reconstruction of Network from Time Series
by: Xian, Yishu, et al.
Published: (2026)
by: Xian, Yishu, et al.
Published: (2026)
Probabilistic Emissivity Retrieval from Hyperspectral Data via Physics-Guided Variational Inference
by: Tempelman, Joshua R., et al.
Published: (2025)
by: Tempelman, Joshua R., et al.
Published: (2025)
Dichotomy of Feature Learning and Unlearning: Fast-Slow Analysis on Neural Networks with Stochastic Gradient Descent
by: Imai, Shota, et al.
Published: (2026)
by: Imai, Shota, et al.
Published: (2026)
Graph Neural Network-based Tracking as a Service
by: Zhao, Haoran, et al.
Published: (2024)
by: Zhao, Haoran, et al.
Published: (2024)
A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification
by: Corradini, Flavio, et al.
Published: (2024)
by: Corradini, Flavio, et al.
Published: (2024)
On the dynamical evolution of randomness Part A: Random experiments as dynamical systems
by: Lobo, Allen, et al.
Published: (2025)
by: Lobo, Allen, et al.
Published: (2025)
Similar Items
-
Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks
by: Sutcliffe, William, et al.
Published: (2025) -
End-to-End Multi-Track Reconstruction using Graph Neural Networks at Belle II
by: Reuter, Lea, et al.
Published: (2024) -
Temporal Graph Neural Networks for Early Anomaly Detection and Performance Prediction via PV System Monitoring Data
by: Mukherjee, Srijani, et al.
Published: (2025) -
XENONnT Analysis: Signal Reconstruction, Calibration and Event Selection
by: XENON Collaboration, et al.
Published: (2024) -
Bridging Worlds: Achieving Language Interoperability between Julia and Python in Scientific Computing
by: Osborne, Ianna, et al.
Published: (2024)