Deep Learning for Physics Research最新文献

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Models for data analysis 数据分析模型
Deep Learning for Physics Research Pub Date : 2021-06-28 DOI: 10.1142/9789811237461_0002
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引用次数: 1
Graph networks and convolutions beyond Euclidean domains 超越欧几里得域的图网络和卷积
Deep Learning for Physics Research Pub Date : 2021-06-28 DOI: 10.1142/9789811237461_0010
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引用次数: 0
Fully-connected networks: improving the classic all-rounder 全连接网络:改进经典的多面手
Deep Learning for Physics Research Pub Date : 2021-06-28 DOI: 10.1142/9789811237461_0007
{"title":"Fully-connected networks: improving the classic all-rounder","authors":"","doi":"10.1142/9789811237461_0007","DOIUrl":"https://doi.org/10.1142/9789811237461_0007","url":null,"abstract":"","PeriodicalId":188872,"journal":{"name":"Deep Learning for Physics Research","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129525198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Generative models: data from noise 生成模型:来自噪声的数据
Deep Learning for Physics Research Pub Date : 2021-06-28 DOI: 10.1142/9789811237461_0018
{"title":"Generative models: data from noise","authors":"","doi":"10.1142/9789811237461_0018","DOIUrl":"https://doi.org/10.1142/9789811237461_0018","url":null,"abstract":"","PeriodicalId":188872,"journal":{"name":"Deep Learning for Physics Research","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114797310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Introspection, Uncertainties, Objectives 自省,不确定性,目标
Deep Learning for Physics Research Pub Date : 2021-06-28 DOI: 10.1142/9789811237461_others03
{"title":"Introspection, Uncertainties, Objectives","authors":"","doi":"10.1142/9789811237461_others03","DOIUrl":"https://doi.org/10.1142/9789811237461_others03","url":null,"abstract":"","PeriodicalId":188872,"journal":{"name":"Deep Learning for Physics Research","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123630739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Domain adaptation, refinement, unfolding 领域适应、细化、展开
Deep Learning for Physics Research Pub Date : 2021-06-28 DOI: 10.1142/9789811237461_0019
{"title":"Domain adaptation, refinement, unfolding","authors":"","doi":"10.1142/9789811237461_0019","DOIUrl":"https://doi.org/10.1142/9789811237461_0019","url":null,"abstract":"","PeriodicalId":188872,"journal":{"name":"Deep Learning for Physics Research","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127332240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mastering model building 掌握模型构建
Deep Learning for Physics Research Pub Date : 2021-06-28 DOI: 10.1142/9789811237461_0005
{"title":"Mastering model building","authors":"","doi":"10.1142/9789811237461_0005","DOIUrl":"https://doi.org/10.1142/9789811237461_0005","url":null,"abstract":"","PeriodicalId":188872,"journal":{"name":"Deep Learning for Physics Research","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131949306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-task learning, hybrid architectures, and operational reality 多任务学习、混合架构和操作现实
Deep Learning for Physics Research Pub Date : 2021-06-28 DOI: 10.1142/9789811237461_0011
{"title":"Multi-task learning, hybrid architectures, and operational reality","authors":"","doi":"10.1142/9789811237461_0011","DOIUrl":"https://doi.org/10.1142/9789811237461_0011","url":null,"abstract":"","PeriodicalId":188872,"journal":{"name":"Deep Learning for Physics Research","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126027653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Learning Advanced Concepts 深度学习高级概念
Deep Learning for Physics Research Pub Date : 2021-06-28 DOI: 10.1142/9789811237461_others04
{"title":"Deep Learning Advanced Concepts","authors":"","doi":"10.1142/9789811237461_others04","DOIUrl":"https://doi.org/10.1142/9789811237461_others04","url":null,"abstract":"","PeriodicalId":188872,"journal":{"name":"Deep Learning for Physics Research","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126822173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Standard Architectures of Deep Networks 深度网络的标准体系结构
Deep Learning for Physics Research Pub Date : 2021-06-28 DOI: 10.1142/9789811237461_others02
{"title":"Standard Architectures of Deep Networks","authors":"","doi":"10.1142/9789811237461_others02","DOIUrl":"https://doi.org/10.1142/9789811237461_others02","url":null,"abstract":"","PeriodicalId":188872,"journal":{"name":"Deep Learning for Physics Research","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131933480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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