Neural Scaling Laws for Jet Generation
hep-ph, cs.LG, hep-ex, physics.data-an
Submitted: 2026-05-27
Updated: 2026-10-06
Terminology
Sources
- Scaling Laws for Neural Language Models
- Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check
- Scaling Laws in Jet Classification
- Neural Scaling Laws for Boosted Jet Tagging
- Scaling laws for amplitude surrogates
- Aspen Open Jets: Unlocking LHC Data for Foundation Models in Particle Physics
- Enhancing next token prediction based pre-training for jet foundation models
- Training Compute-Optimal Large Language Models
- OmniJet-$\alpha$: The first cross-task foundation model for particle physics
- Neural Discrete Representation Learning
- BEiT: BERT Pre-Training of Image Transformers
- Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks
- Identifying Boosted Objects with N-subjettiness
- Refereeing the Referees: Evaluating Two-Sample Tests for Validating Generators in Precision Sciences
- Comparing Generative Models with the New Physics Learning Machine
- PYTHIA 6.4 Physics and Manual
- Herwig 7.0 / Herwig++ 3.0 Release Note
- Event generation with SHERPA 1.1
- Jet Substructure at the Large Hadron Collider: Experimental Review
- Direct observation of the dead-cone effect in QCD
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