The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering最新文献

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Bayesian Model Selection and Parameter Estimation for Complex Impedance Spectroscopy Data of Endothelial Cell Monolayers 内皮细胞单层复杂阻抗光谱数据的贝叶斯模型选择和参数估计
Franziska Zimmermann, F. Härtel, Anupam Das, Thomas Noll, Peter Dieterich
{"title":"Bayesian Model Selection and Parameter Estimation for Complex Impedance Spectroscopy Data of Endothelial Cell Monolayers","authors":"Franziska Zimmermann, F. Härtel, Anupam Das, Thomas Noll, Peter Dieterich","doi":"10.3390/psf2023009008","DOIUrl":"https://doi.org/10.3390/psf2023009008","url":null,"abstract":"","PeriodicalId":506244,"journal":{"name":"The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering","volume":"189 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139215819","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
Improving Inferences about Exoplanet Habitability 改进系外行星宜居性推断
Risinie D. Perera, Kevin H. Knuth
{"title":"Improving Inferences about Exoplanet Habitability","authors":"Risinie D. Perera, Kevin H. Knuth","doi":"10.3390/psf2023009007","DOIUrl":"https://doi.org/10.3390/psf2023009007","url":null,"abstract":"","PeriodicalId":506244,"journal":{"name":"The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering","volume":"109 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139230624","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
Uncertainty Quantification with Deep Ensemble Methods for Super-Resolution of Sentinel 2 Satellite Images 利用深度集合方法量化哨兵 2 号卫星图像超分辨率的不确定性
David Iagaru, Nina M. Gottschling
{"title":"Uncertainty Quantification with Deep Ensemble Methods for Super-Resolution of Sentinel 2 Satellite Images","authors":"David Iagaru, Nina M. Gottschling","doi":"10.3390/psf2023009004","DOIUrl":"https://doi.org/10.3390/psf2023009004","url":null,"abstract":"","PeriodicalId":506244,"journal":{"name":"The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139234307","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
Magnetohydrodynamic Equilibrium Reconstruction with Consistent Uncertainties 具有一致不确定性的磁流体力学平衡重构
Robert Köberl, Robert Babin, Christopher G. Albert
{"title":"Magnetohydrodynamic Equilibrium Reconstruction with Consistent Uncertainties","authors":"Robert Köberl, Robert Babin, Christopher G. Albert","doi":"10.3390/psf2023009006","DOIUrl":"https://doi.org/10.3390/psf2023009006","url":null,"abstract":"","PeriodicalId":506244,"journal":{"name":"The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139231962","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
Geodesic Least Squares: Robust Regression Using Information Geometry 大地最小二乘法:利用信息几何进行稳健回归
G. Verdoolaege
{"title":"Geodesic Least Squares: Robust Regression Using Information Geometry","authors":"G. Verdoolaege","doi":"10.3390/psf2023009005","DOIUrl":"https://doi.org/10.3390/psf2023009005","url":null,"abstract":": Geodesic least squares (GLS) is a regression technique that operates in spaces of probability distributions. Based on the minimization of the Rao geodesic distance between two probability models of the response variable, GLS is robust against outliers and model misspecification. The method is very simple, without any tuning parameters, owing to its solid foundations rooted in information geometry. Here, we illustrate the robustness properties of GLS using applications in the fields of magnetic confinement fusion and astrophysics. Additional interpretation is gained from visualizations using several models for the manifold of Gaussian probability distributions.","PeriodicalId":506244,"journal":{"name":"The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139234676","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
An Iterative Bayesian Algorithm for 3D Image Reconstruction Using Multi-View Compton Data 利用多视角康普顿数据进行三维图像重建的迭代贝叶斯算法
Nhan Le, H. Snoussi, Alain Iltis
{"title":"An Iterative Bayesian Algorithm for 3D Image Reconstruction Using Multi-View Compton Data","authors":"Nhan Le, H. Snoussi, Alain Iltis","doi":"10.3390/psf2023009002","DOIUrl":"https://doi.org/10.3390/psf2023009002","url":null,"abstract":"","PeriodicalId":506244,"journal":{"name":"The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering","volume":"28 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139242324","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
Behavioral Influence of Social Self Perception in a Sociophysical Simulation 社会物理模拟中社会自我认知的行为影响
Fabian Sigler, V. Kainz, T. Enßlin, Céline Boehm, Sonja Utz
{"title":"Behavioral Influence of Social Self Perception in a Sociophysical Simulation","authors":"Fabian Sigler, V. Kainz, T. Enßlin, Céline Boehm, Sonja Utz","doi":"10.3390/psf2023009003","DOIUrl":"https://doi.org/10.3390/psf2023009003","url":null,"abstract":"","PeriodicalId":506244,"journal":{"name":"The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139241868","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
Preface of the 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering—MaxEnt 2023 第 42 届科学与工程贝叶斯推理和最大熵方法国际研讨会--MaxEnt 2023 前言
U. von Toussaint, Roland Preuss
{"title":"Preface of the 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering—MaxEnt 2023","authors":"U. von Toussaint, Roland Preuss","doi":"10.3390/psf2023009001","DOIUrl":"https://doi.org/10.3390/psf2023009001","url":null,"abstract":"","PeriodicalId":506244,"journal":{"name":"The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering","volume":"44 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139242945","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
A BRAIN Study to Tackle Image Analysis with Artificial Intelligence in the ALMA 2030 Era 在 ALMA 2030 时代利用人工智能进行图像分析的 BRAIN 研究
F. Guglielmetti, Michele Delli Veneri, I. Baronchelli, Carmen Blanco, Andrea Dosi, T. Enßlin, Vishal Johnson, Giuseppe Longo, Jakob Roth, Felix Stoehr, Ł. Tychoniec, Eric Villard
{"title":"A BRAIN Study to Tackle Image Analysis with Artificial Intelligence in the ALMA 2030 Era","authors":"F. Guglielmetti, Michele Delli Veneri, I. Baronchelli, Carmen Blanco, Andrea Dosi, T. Enßlin, Vishal Johnson, Giuseppe Longo, Jakob Roth, Felix Stoehr, Ł. Tychoniec, Eric Villard","doi":"10.3390/psf2023009018","DOIUrl":"https://doi.org/10.3390/psf2023009018","url":null,"abstract":"An ESO internal ALMA development study, BRAIN, is addressing the ill-posed inverse problem of synthesis image analysis employing astrostatistics and astroinformatics. These emerging fields of research offer interdisciplinary approaches at the intersection of observational astronomy, statistics, algorithm development, and data science. In this study, we provide evidence of the benefits of employing these approaches to ALMA imaging for operational and scientific purposes. We show the potential of two techniques, RESOLVE and DeepFocus, applied to ALMA calibrated science data. Significant advantages are provided with the prospect to improve the quality and completeness of the data products stored in the science archive and overall processing time for operations. Both approaches evidence the logical pathway to address the incoming revolution in data rates dictated by the planned electronic upgrades. Moreover, we bring to the community additional products through a new package, ALMASim, to promote advancements in these fields, providing a refined ALMA simulator usable by a large community for training and/or testing new algorithms.","PeriodicalId":506244,"journal":{"name":"The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering","volume":"23 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139263341","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
Quantum Measurement and Objective Classical Reality 量子测量与客观经典现实
Vishal Johnson, Philipp Frank, T. Enßlin
{"title":"Quantum Measurement and Objective Classical Reality","authors":"Vishal Johnson, Philipp Frank, T. Enßlin","doi":"10.3390/psf2023009016","DOIUrl":"https://doi.org/10.3390/psf2023009016","url":null,"abstract":"We explore quantum measurement in the context of Everettian unitary quantum mechanics and construct an explicit unitary measurement procedure. We propose the existence of prior correlated states that enable this procedure to work and therefore argue that correlation is a resource that is consumed when measurements take place. It is also argued that a network of such measurements establishes a stable objective classical reality.","PeriodicalId":506244,"journal":{"name":"The 42nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering","volume":"265 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139342162","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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