Bayesian Optimization Algorithms for Accelerator Physics
Fuente:
arXiv
Saved in:
| Main Authors: | Roussel, Ryan, Edelen, Auralee L., Boltz, Tobias, Kennedy, Dylan, Zhang, Zhe, Ji, Fuhao, Huang, Xiaobiao, Ratner, Daniel, Garcia, Andrea Santamaria, Xu, Chenran, Kaiser, Jan, Pousa, Angel Ferran, Eichler, Annika, Lubsen, Jannis O., Isenberg, Natalie M., Gao, Yuan, Kuklev, Nikita, Martinez, Jose, Mustapha, Brahim, Kain, Verena, Lin, Weijian, Liuzzo, Simone Maria, John, Jason St., Streeter, Matthew J. V., Lehe, Remi, Neiswanger, Willie |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Safe Bayesian Optimization for Uncertain Correlation Matrices in Linear Models of Co-Regionalization
by: Lübsen, Jannis, et al.
Published: (2026)
by: Lübsen, Jannis, et al.
Published: (2026)
Robust Nonlinear System Identification in Reproducing Kernel Hilbert Spaces via Scenario Optimization
by: Lübsen, Jannis, et al.
Published: (2026)
by: Lübsen, Jannis, et al.
Published: (2026)
Leveraging Prior Mean Models for Faster Bayesian Optimization of Particle Accelerators
by: Boltz, Tobias, et al.
Published: (2024)
by: Boltz, Tobias, et al.
Published: (2024)
Towards Safe Multi-Task Bayesian Optimization
by: Lübsen, Jannis O., et al.
Published: (2023)
by: Lübsen, Jannis O., et al.
Published: (2023)
Data Driven Drift Correction For Complex Optical Systems
by: Mishra, Aashwin, et al.
Published: (2025)
by: Mishra, Aashwin, et al.
Published: (2025)
A Start To End Machine Learning Approach To Maximize Scientific Throughput From The LCLS-II-HE
by: Mishra, Aashwin, et al.
Published: (2025)
by: Mishra, Aashwin, et al.
Published: (2025)
Supercharging Simulation-Based Inference for Bayesian Optimal Experimental Design
by: Klein, Samuel, et al.
Published: (2026)
by: Klein, Samuel, et al.
Published: (2026)
Outlook Towards Deployable Continual Learning for Particle Accelerators
by: Rajput, Kishansingh, et al.
Published: (2025)
by: Rajput, Kishansingh, et al.
Published: (2025)
Harnessing the Power of Gradient-Based Simulations for Multi-Objective Optimization in Particle Accelerators
by: Rajput, Kishansingh, et al.
Published: (2024)
by: Rajput, Kishansingh, et al.
Published: (2024)
Autonomous operation of the DIAG0 diagnostic line for 6D phase-space monitoring at LCLS-II
by: Roussel, Ryan, et al.
Published: (2026)
by: Roussel, Ryan, et al.
Published: (2026)
Efficient 6-dimensional phase space reconstruction from experimental measurements using generative machine learning
by: Roussel, Ryan, et al.
Published: (2024)
by: Roussel, Ryan, et al.
Published: (2024)
DeLLMa: Decision Making Under Uncertainty with Large Language Models
by: Liu, Ollie, et al.
Published: (2024)
by: Liu, Ollie, et al.
Published: (2024)
Probabilistic Graphical Models: A Concise Tutorial
by: Maasch, Jacqueline, et al.
Published: (2025)
by: Maasch, Jacqueline, et al.
Published: (2025)
Rethinking RL for LLM Reasoning: It's Sparse Policy Selection, Not Capability Learning
by: Akgül, Ömer Faruk, et al.
Published: (2026)
by: Akgül, Ömer Faruk, et al.
Published: (2026)
An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization
by: Luebsen, Jannis O., et al.
Published: (2025)
by: Luebsen, Jannis O., et al.
Published: (2025)
LLM Unlearning Without an Expert Curated Dataset
by: Zhu, Xiaoyuan, et al.
Published: (2025)
by: Zhu, Xiaoyuan, et al.
Published: (2025)
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution
by: Wu, Tailin, et al.
Published: (2024)
by: Wu, Tailin, et al.
Published: (2024)
Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions
by: Zhang, Jiarui, et al.
Published: (2024)
by: Zhang, Jiarui, et al.
Published: (2024)
From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered
by: Devic, Siddartha, et al.
Published: (2025)
by: Devic, Siddartha, et al.
Published: (2025)
Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations
by: Kaiser, Jan, et al.
Published: (2024)
by: Kaiser, Jan, et al.
Published: (2024)
Efficient Dynamic and Momentum Aperture Optimization for Lattice Design Using Multipoint Bayesian Algorithm Execution
by: Zhang, Z., et al.
Published: (2025)
by: Zhang, Z., et al.
Published: (2025)
Beam-based Correction and Optimization for Accelerators
by: Huang, Xiaobiao
Published: (2025)
by: Huang, Xiaobiao
Published: (2025)
An extension to a Liouville theorem on degenerate Monge–Ampère equations in half spaces
by: Xiaobiao Jia
Published: (2025)
by: Xiaobiao Jia
Published: (2025)
Multi-Objective Bayesian Active Learning for MeV-ultrafast electron diffraction
by: Ji, Fuhao, et al.
Published: (2024)
by: Ji, Fuhao, et al.
Published: (2024)
Deployment and validation of predictive 6-dimensional beam diagnostics through generative reconstruction with standard accelerator elements
by: Kim, Seongyeol, et al.
Published: (2025)
by: Kim, Seongyeol, et al.
Published: (2025)
Domain Knowledge Guided Bayesian Optimization For Autonomous Alignment Of Complex Scientific Instruments
by: Mishra, Aashwin, et al.
Published: (2026)
by: Mishra, Aashwin, et al.
Published: (2026)
Untying Things Together: Philosophy, Literature, and a Life in Theory By Eric L.Santner, University of Chicago Press. 2022. pp. 256. $75.00 (hardcover), $25.00 (paperback), $24.99 (ebook)
by: Britton Edelen
Published: (2024)
by: Britton Edelen
Published: (2024)
Optimization of throughput, fairness and energy efficiency on asymmetric multicore systems via OS scheduling
by: Adrian Pousa
Published: (2018)
by: Adrian Pousa
Published: (2018)
Lectura grupoanalítica de un taller de escritura creativa: la escritura como vehículo de interconexión
by: Verónica Pousa
Published: (2020)
by: Verónica Pousa
Published: (2020)
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
by: Anwar, Abrar, et al.
Published: (2025)
by: Anwar, Abrar, et al.
Published: (2025)
LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning
by: Akgül, Ömer Faruk, et al.
Published: (2025)
by: Akgül, Ömer Faruk, et al.
Published: (2025)
Boltz Retro A Complete Library of Built-In Games
by: Boltz Retro Review
Published: (2025)
by: Boltz Retro Review
Published: (2025)
The Discourse on Gender Identity in Contemporary Russia
by: Scheller-Boltz, Dennis
Published: (2021)
by: Scheller-Boltz, Dennis
Published: (2021)
What We Want: Boys and Girls Talk about Reading
by: Boltz, Robin H.
Published: (2007)
by: Boltz, Robin H.
Published: (2007)
TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models
by: Devunuri, Saipraneeth, et al.
Published: (2024)
by: Devunuri, Saipraneeth, et al.
Published: (2024)
Four-Dimensional Phase-Space Reconstruction of Flat and Magnetized Beams Using Neural Networks and Differentiable Simulations
by: Kim, Seongyeol, et al.
Published: (2024)
by: Kim, Seongyeol, et al.
Published: (2024)
LASY: LAser manipulations made eaSY
by: Thévenet, Maxence, et al.
Published: (2024)
by: Thévenet, Maxence, et al.
Published: (2024)
Avoiding Beam Instabilities and Resonances With Circular Modes
by: Gilanliogullari, Onur, et al.
Published: (2025)
by: Gilanliogullari, Onur, et al.
Published: (2025)
A Formalism for the Transport and Matching of Coupled Beams in Accelerators
by: Gilanliogullari, Onur, et al.
Published: (2025)
by: Gilanliogullari, Onur, et al.
Published: (2025)
Minimizing Space Charge Tune Spread and Increasing Beam Quality Parameters with Circular Modes
by: Gilanliogullari, Onur, et al.
Published: (2024)
by: Gilanliogullari, Onur, et al.
Published: (2024)
Similar Items
-
Safe Bayesian Optimization for Uncertain Correlation Matrices in Linear Models of Co-Regionalization
by: Lübsen, Jannis, et al.
Published: (2026) -
Robust Nonlinear System Identification in Reproducing Kernel Hilbert Spaces via Scenario Optimization
by: Lübsen, Jannis, et al.
Published: (2026) -
Leveraging Prior Mean Models for Faster Bayesian Optimization of Particle Accelerators
by: Boltz, Tobias, et al.
Published: (2024) -
Towards Safe Multi-Task Bayesian Optimization
by: Lübsen, Jannis O., et al.
Published: (2023) -
Data Driven Drift Correction For Complex Optical Systems
by: Mishra, Aashwin, et al.
Published: (2025)