Jet Tagging
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Benchmarks
JetClass
Most implemented
ParticleNet: Jet Tagging via Particle Clouds
Gradient-based Automatic Mixed Precision Quantization for Neural Networks On-Chip
Guided Graph Compression for Quantum Graph Neural Networks
Interpreting Transformers for Jet Tagging
Lie-Equivariant Quantum Graph Neural Networks
OmniJet-$α$: The first cross-task foundation model for particle physics
Papers
Reconfigurable Computing Challenge: Transformer for Jet Tagging on Versal AI Engines
Transformer-based models achieve strong performance for jet tagging at the CERN LHC, but deploying them in low-latency, resource-constrained trigger systems is challenging. We present an initial implementation of a quant…
Jet TaggingJetParticle-JEPA: An Efficient Self-Supervised Representation Learning method for Jet Tagging in High-Energy Physics
Jet tagging at the Large Hadron Collider increasingly relies on deep learning models trained on massive simulated datasets, leading to high computational costs and limited robustness to detector mismodeling. We introduce…
Representation LearningJet TaggingPatch Hierarchical Attention Transformer for Efficient Particle Jet Tagging
Real-time jet tagging is critical for identifying short-lived particle decays in the high-throughput detectors of the Large Hadron Collider, where real-time trigger systems responsible for deciding which collision events…
Jet TaggingDissecting Jet-Tagger Through Mechanistic Interpretability
Mechanistic interpretability seeks to reverse engineer a trained neural network by identifying the minimal subset of internal components. We perform a mechanistic interpretability analysis of the Particle Transformer arc…
Jet TaggingTransfer Learning Across Fast- and Full-Simulation Domains in High-Energy Physics
Machine-learning models in high-energy physics are often trained on simulated data, where fully simulated samples are computationally expensive while fast simulation provides large statistics at reduced realism. In this …
Transfer LearningJet TaggingExplainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane
Graph neural networks such as ParticleNet and transformer based networks on point clouds such as ParticleTransformer achieve state-of-the-art performance on jet tagging benchmarks at the Large Hadron Collider, yet the ph…
Point CloudsJet Tagging