Saved in:
| Main Authors: | Hill, Justin, Ryoo, Hong Joo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.15039 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
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)
Deep Generative Models for Ultra-High Granularity Particle Physics Detector Simulation: A Voyage From Emulation to Extrapolation
by: Hashemi, Baran
Published: (2024)
by: Hashemi, Baran
Published: (2024)
AI Agents Can Already Autonomously Perform Experimental High Energy Physics
by: Moreno, Eric A., et al.
Published: (2026)
by: Moreno, Eric A., et al.
Published: (2026)
Patch Hierarchical Attention Transformer for Efficient Particle Jet Tagging
by: Wang, Aaron, et al.
Published: (2026)
by: Wang, Aaron, et al.
Published: (2026)
Experiments in Agentic AI for Science
by: Fox, Judy, et al.
Published: (2026)
by: Fox, Judy, et al.
Published: (2026)
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion
by: Shmakov, Alexander, et al.
Published: (2024)
by: Shmakov, Alexander, et al.
Published: (2024)
Physics Instrument Design with Reinforcement Learning
by: Qasim, Shah Rukh, et al.
Published: (2024)
by: Qasim, Shah Rukh, et al.
Published: (2024)
Strategic White Paper on AI Infrastructure for Particle, Nuclear, and Astroparticle Physics: Insights from JENA and EuCAIF
by: Caron, Sascha, et al.
Published: (2025)
by: Caron, Sascha, et al.
Published: (2025)
An End-to-end Architecture for Collider Physics and Beyond
by: Qiu, Shi, et al.
Published: (2026)
by: Qiu, Shi, et al.
Published: (2026)
First Estimation of Model Parameters for Neutrino-Induced Nucleon Knockout Using Simulation-Based Inference
by: Tame-Narvaez, Karla, et al.
Published: (2026)
by: Tame-Narvaez, Karla, et al.
Published: (2026)
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)
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)
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)
Phenomenological Detector Design and Optimization in Vertically-Integrated Differentiable Full Simulations with Agentic-AI
by: Chung, Wonyong, et al.
Published: (2026)
by: Chung, Wonyong, 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)
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)
Large Language Models for Physics Instrument Design
by: Zoccheddu, Sara, et al.
Published: (2026)
by: Zoccheddu, Sara, et al.
Published: (2026)
FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics
by: Park, David, et al.
Published: (2025)
by: Park, David, et al.
Published: (2025)
Probing SMEFT Operators through $t\bar{t}t\bar{t}$ Production with Hyper-Graph Neural Networks at the LHC
by: Subba, Amir, et al.
Published: (2026)
by: Subba, Amir, et al.
Published: (2026)
A case study of sending graph neural networks back to the test bench for applications in high-energy particle physics
by: Pfeffer, Emanuel, et al.
Published: (2024)
by: Pfeffer, Emanuel, et al.
Published: (2024)
Experimental Particle Physics Priorities 2025: A String Phenomenology Perspective
by: DeMont, Jonathan, et al.
Published: (2025)
by: DeMont, Jonathan, et al.
Published: (2025)
Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision
by: Aarrestad, Thea Klaeboe, et al.
Published: (2026)
by: Aarrestad, Thea Klaeboe, et al.
Published: (2026)
AutoFLUKA: A Large Language Model Based Framework for Automating Monte Carlo Simulations in FLUKA
by: Ndum, Zavier Ndum, et al.
Published: (2024)
by: Ndum, Zavier Ndum, et al.
Published: (2024)
Spatially Aware Linear Transformer (SAL-T) for Particle Jet Tagging
by: Wang, Aaron, et al.
Published: (2025)
by: Wang, Aaron, et al.
Published: (2025)
The Belle II Experiment at SuperKEKB -- Input to the European Particle Physics Strategy
by: The Belle II Collaboration
Published: (2025)
by: The Belle II Collaboration
Published: (2025)
When Does Critique Improve AI-Assisted Theoretical Physics? SCALAR: Structured Critic--Actor Loop for Agentic Reasoning
by: Niarchos, Vasilis, et al.
Published: (2026)
by: Niarchos, Vasilis, et al.
Published: (2026)
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)
Unpaired Image Translation to Mitigate Domain Shift in Liquid Argon Time Projection Chamber Detector Responses
by: Huang, Yi, et al.
Published: (2023)
by: Huang, Yi, et al.
Published: (2023)
eLog analysis for accelerators: status and future outlook
by: Sulc, Antonin, et al.
Published: (2025)
by: Sulc, Antonin, et al.
Published: (2025)
Neutrino Reconstruction in TRIDENT Based on Graph Neural Network
by: Mo, Cen, et al.
Published: (2024)
by: Mo, Cen, et al.
Published: (2024)
Gedanken Experiments of Entanglement in Particle Physics: Interactions, Operators and Bell Inequalities in Flavor Space
by: Pacheco, Corbin, et al.
Published: (2025)
by: Pacheco, Corbin, et al.
Published: (2025)
Learning Pole Structures of Hadronic States using Predictive Uncertainty Estimation
by: Frohnert, Felix, et al.
Published: (2025)
by: Frohnert, Felix, et al.
Published: (2025)
Improving Neutrino Oscillation Measurements through Event Classification
by: Ellis, Sebastian A. R., et al.
Published: (2025)
by: Ellis, Sebastian A. R., et al.
Published: (2025)
High-dimensional and Permutation Invariant Anomaly Detection
by: Mikuni, Vinicius, et al.
Published: (2023)
by: Mikuni, Vinicius, et al.
Published: (2023)
Generative Models for Fast Simulation of Cherenkov Detectors at the Electron-Ion Collider
by: Giroux, James, et al.
Published: (2025)
by: Giroux, James, et al.
Published: (2025)
MITRA: An AI Assistant for Knowledge Retrieval in Physics Collaborations
by: Mallampalli, Abhishikth, et al.
Published: (2026)
by: Mallampalli, Abhishikth, et al.
Published: (2026)
Probing Light Dark Particles in Neutrino Scattering Experiments
by: Feng, Ruofei, et al.
Published: (2026)
by: Feng, Ruofei, et al.
Published: (2026)
DeepQuark: A Deep-Neural-Network Approach to Multiquark Bound States
by: Wu, Wei-Lin, et al.
Published: (2025)
by: Wu, Wei-Lin, et al.
Published: (2025)
Similar Items
-
Agentic AI -- Physicist Collaboration in Experimental Particle Physics: A Proof-of-Concept Measurement with LEP Open Data
by: Badea, Anthony, et al.
Published: (2026) -
Collider-Bench: Benchmarking AI Agents with Particle Physics Analysis Reproduction
by: Faroughy, Darius A., et al.
Published: (2026) -
Deep Generative Models for Ultra-High Granularity Particle Physics Detector Simulation: A Voyage From Emulation to Extrapolation
by: Hashemi, Baran
Published: (2024) -
AI Agents Can Already Autonomously Perform Experimental High Energy Physics
by: Moreno, Eric A., et al.
Published: (2026) -
Patch Hierarchical Attention Transformer for Efficient Particle Jet Tagging
by: Wang, Aaron, et al.
Published: (2026)