Saved in:
| Main Authors: | Moreno, Eric A., Bright-Thonney, Samuel, Novak, Andrzej, Garcia, Dolores, Harris, Philip |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.20179 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Safe but Incalculable: Energy-weighting is not all you need
by: Bright-Thonney, Samuel, et al.
Published: (2023)
by: Bright-Thonney, Samuel, et al.
Published: (2023)
Sven: Singular Value Descent as a Computationally Efficient Natural Gradient Method
by: Bright-Thonney, Samuel, et al.
Published: (2026)
by: Bright-Thonney, Samuel, et al.
Published: (2026)
AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
by: Bright-Thonney, Samuel, et al.
Published: (2025)
by: Bright-Thonney, Samuel, et al.
Published: (2025)
GRACE: an Agentic AI for Particle Physics Experiment Design and Simulation
by: Hill, Justin, et al.
Published: (2026)
by: Hill, Justin, et al.
Published: (2026)
Event Generators for High-Energy Physics Experiments
by: Campbell, J. M., et al.
Published: (2022)
by: Campbell, J. M., et al.
Published: (2022)
Agentic AI -- Physicist Collaboration in Experimental Particle Physics: A Proof-of-Concept Measurement with LEP Open Data
by: Badea, Anthony, et al.
Published: (2026)
by: Badea, Anthony, et al.
Published: (2026)
HEPTAPOD: Orchestrating High Energy Physics Workflows Towards Autonomous Agency
by: Menzo, Tony, et al.
Published: (2025)
by: Menzo, Tony, et al.
Published: (2025)
End-to-end event reconstruction for precision physics at future colliders
by: Garcia, Dolores, et al.
Published: (2026)
by: Garcia, Dolores, et al.
Published: (2026)
Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction
by: Faroughy, Darius A., et al.
Published: (2026)
by: Faroughy, Darius A., et al.
Published: (2026)
CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics
by: Atif, Mohammad, et al.
Published: (2025)
by: Atif, Mohammad, et al.
Published: (2025)
Ultra Fast Transformers on FPGAs for Particle Physics Experiments
by: Jiang, Zhixing, et al.
Published: (2024)
by: Jiang, Zhixing, et al.
Published: (2024)
Another Fit Bites the Dust: Conformal Prediction as a Calibration Standard for Machine Learning in High-Energy Physics
by: Araz, Jack Y., et al.
Published: (2025)
by: Araz, Jack Y., et al.
Published: (2025)
FAIR AI Models in High Energy Physics
by: Duarte, Javier, et al.
Published: (2022)
by: Duarte, Javier, et al.
Published: (2022)
HepScript: A Dual-Use DSL for Human-AI Collaborative Data Analysis Workflows in High-Energy Physics
by: Jiao, Junkun, et al.
Published: (2026)
by: Jiao, Junkun, et al.
Published: (2026)
Autonomous Discovery of Particle Physics Theories from Experimental Data
by: Alexander, Stephon, et al.
Published: (2026)
by: Alexander, Stephon, et al.
Published: (2026)
Automating High Energy Physics Data Analysis with LLM-Powered Agents
by: Gendreau-Distler, Eli, et al.
Published: (2025)
by: Gendreau-Distler, Eli, et al.
Published: (2025)
Standard Model Predictions for Rare K and B Decays without New Physics Infection
by: Buras, Andrzej J.
Published: (2022)
by: Buras, Andrzej J.
Published: (2022)
AI Agents, Language, Deep Learning and the Next Revolution in Science
by: Li, Ke, et al.
Published: (2026)
by: Li, Ke, et al.
Published: (2026)
High-Density Ultracold Neutron Source for Low-Energy Particle Physics Experiments
by: Degenkolb, Skyler, et al.
Published: (2025)
by: Degenkolb, Skyler, et al.
Published: (2025)
Fine-Tuning Vision-Language Models for Neutrino Event Analysis in High-Energy Physics Experiments
by: Sagar, Dikshant, et al.
Published: (2025)
by: Sagar, Dikshant, et al.
Published: (2025)
Light-Flavour Resonance Production in High-Energy Heavy-Ion Collisions: An Experimental Review
by: Das, Prottay, et al.
Published: (2026)
by: Das, Prottay, et al.
Published: (2026)
From Experimental Limits to Physical Insight: A Retrieval-Augmented Multi-Agent Framework for Interpreting Searches Beyond the Standard Model
by: Cakir, Altan, et al.
Published: (2026)
by: Cakir, Altan, et al.
Published: (2026)
Transformers for Charged Particle Track Reconstruction in High Energy Physics
by: Van Stroud, Samuel, et al.
Published: (2024)
by: Van Stroud, Samuel, et al.
Published: (2024)
Bent Crystal Design and Characterization for High-Energy Physics Experiments
by: Romagnoni, Marco, et al.
Published: (2024)
by: Romagnoni, Marco, et al.
Published: (2024)
Fermion-Portal Dark Matter at a High-Energy Muon Collider
by: Asadi, Pouya, et al.
Published: (2024)
by: Asadi, Pouya, et al.
Published: (2024)
Optimised Inference of Quantum Phenomena in High-Energy Collider Experiments
by: Nguyen, Hai-Chau, et al.
Published: (2026)
by: Nguyen, Hai-Chau, et al.
Published: (2026)
Data Preservation in High Energy Physics
by: Arbey, Alexandre, et al.
Published: (2025)
by: Arbey, Alexandre, et al.
Published: (2025)
Quantum Frontiers in High Energy Physics
by: Fang, Yaquan, et al.
Published: (2024)
by: Fang, Yaquan, et al.
Published: (2024)
A Novel Quantum Realization of Jet Clustering in High-Energy Physics Experiments
by: Zhu, Yongfeng, et al.
Published: (2024)
by: Zhu, Yongfeng, et al.
Published: (2024)
Image and Point-cloud Classification for Jet Analysis in High-Energy Physics: A survey
by: Kheddar, Hamza, et al.
Published: (2024)
by: Kheddar, Hamza, et al.
Published: (2024)
Hunting New Animalcula with Flavour Changing Processes
by: Buras, Andrzej J.
Published: (2026)
by: Buras, Andrzej J.
Published: (2026)
Hunting New Animalcula with Rare K and B Decays
by: Buras, Andrzej J.
Published: (2024)
by: Buras, Andrzej J.
Published: (2024)
High-Precision Physics Experiments at Huizhou Large-Scale Scientific Facilities
by: An, FengPeng, et al.
Published: (2025)
by: An, FengPeng, et al.
Published: (2025)
Energy Correlators: A Journey From Theory to Experiment
by: Moult, Ian, et al.
Published: (2025)
by: Moult, Ian, et al.
Published: (2025)
Addicted to Flavour: 1976-2026
by: Buras, Andrzej J.
Published: (2026)
by: Buras, Andrzej J.
Published: (2026)
Versatile Energy-Based Probabilistic Models for High Energy Physics
by: Cheng, Taoli, et al.
Published: (2023)
by: Cheng, Taoli, et al.
Published: (2023)
MAGE-HEP: Monte Carlo Analysis and Graphical Environment for High-Energy Physics
by: Gupta, Rishabh, et al.
Published: (2026)
by: Gupta, Rishabh, et al.
Published: (2026)
Definition and Treatment of Systematic Uncertainties in High Energy Physics and Astrophysics
by: Sinervo, Pekka K., et al.
Published: (2025)
by: Sinervo, Pekka K., et al.
Published: (2025)
Xiwu: A Basis Flexible and Learnable LLM for High Energy Physics
by: Zhang, Zhengde, et al.
Published: (2024)
by: Zhang, Zhengde, et al.
Published: (2024)
Energy-Energy Flow Networks
by: Caffaro, Arianna Garcia, et al.
Published: (2025)
by: Caffaro, Arianna Garcia, et al.
Published: (2025)
Similar Items
-
Safe but Incalculable: Energy-weighting is not all you need
by: Bright-Thonney, Samuel, et al.
Published: (2023) -
Sven: Singular Value Descent as a Computationally Efficient Natural Gradient Method
by: Bright-Thonney, Samuel, et al.
Published: (2026) -
AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
by: Bright-Thonney, Samuel, et al.
Published: (2025) -
GRACE: an Agentic AI for Particle Physics Experiment Design and Simulation
by: Hill, Justin, et al.
Published: (2026) -
Event Generators for High-Energy Physics Experiments
by: Campbell, J. M., et al.
Published: (2022)