Fast and Precise Learned Charged-Particle Trajectory Regression at the Large Hadron Collider
cs.LG, hep-ex, hep-ph, physics.data-an
Submitted: 2026-09-26
Updated: 2026-09-26
Terminology
Sources
- ColliderML: The First Release of an OpenDataDetector High-Luminosity Physics Benchmark Dataset
- Were RNNs All We Needed?
- Attention Is All You Need
- Transformers for Charged Particle Track Reconstruction in High Energy Physics
- A Common Tracking Software Project
- Track fitting at the full LHC collision rate
- GPU-based Online Track Reconstruction for the ALICE TPC in Run 3 with Continuous Read-Out
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
- Root Mean Square Layer Normalization
- On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
- E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
- Generalisation in fully-connected neural networks for time series forecasting
- MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
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