Toward Machine Learning Optimization of Experimental Design-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Toward Machine Learning Optimization of Experimental Design

Published:2021-01-02 Issue:1 Volume:31 Page:25-28
ISSN:1061-9127
Container-title:Nuclear Physics News
language:en
Short-container-title:Nuclear Physics News

Author:

Baydin Atılım Güneş¹,Cranmer Kyle²,Manzano Pablo de Castro³,Delaere Christophe⁴,Derkach Denis⁵,Donini Julien⁶,Dorigo Tommaso⁷,Giammanco Andrea⁴,Kieseler Jan⁸,Layer Lukas⁷⁹,Louppe Gilles¹⁰,Ratnikov Fedor⁵,Strong Giles C.⁷¹¹,Tosi Mia⁷¹¹,Ustyuzhanin Andrey⁵¹²,Vischia Pietro⁴,Yarar Hevjin⁷¹¹

Affiliation:

1. University of Oxford

2. New York University

3. Treelogic

4. Université catholique de Louvain

5. HSE University

6. Université Clermont Auvergne, LPC, CNRS/IN2P3

7. INFN, Sezione di Padova

8. CERN

9. Università di Napoli “Federico II”

10. Université de Liège

11. Università di Padova

12. National University of Science and Technology MISIS

Publisher

Informa UK Limited

Subject

Nuclear and High Energy Physics

Link

https://www.tandfonline.com/doi/pdf/10.1080/10619127.2021.1881364

Reference17 articles.

1. Machine learning and the physical sciences

2. A. Güneş Baydin et al. J. Mach. Learn. Res. 18 (2018) 1. http://jmlr.org/papers/v18/17-468.html

3. MODE: Machine-Learning Optimized Design of Experiments, https://mode-collaboration.github.io/. http://www.nupecc.org/jenaa/?display=eois

4. Geometry optimization of a muon-electron scattering detector

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography;Machine Learning: Science and Technology;2024-07-03

2. Applications of model-aware reinforcement learning in Bayesian quantum metrology;Physical Review A;2024-06-14

3. Exploration of differentiability in a proton computed tomography simulation framework;Physics in Medicine & Biology;2023-12-15

4. Using evolutionary algorithms to design antennas with greater sensitivity to ultrahigh energy neutrinos;Physical Review D;2023-11-03

5. Toward the end-to-end optimization of particle physics instruments with differentiable programming;Reviews in Physics;2023-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3