Learning stochasticity: a nonparametric framework for intrinsic noise estimation
机构 * Department of Information Engineering, University of Padova(信息工程系,帕多瓦大学) ; Department of Pathology, Cambridge University(病理学系,剑桥大学)
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机构 * Department of Information Engineering, University of Padova(信息工程系,帕多瓦大学) ; Department of Pathology, Cambridge University(病理学系,剑桥大学)
机构 * Department of Applied Mathematics and Theoretical Physics, The University of Cambridge(应用数学与理论物理系,剑桥大学) ; Department of Medicine, The University of Cambridge(医学系,剑桥大学) ; Department of Statistics, The University of Warwick(统计系,沃里克大学)
Comments 46 page, 5 figures
机构 * Carnegie Mellon University(卡内基梅隆大学) ; University of Cambridge(剑桥大学) ; Zhejiang University(浙江大学) ; ETH Zurich(苏黎世联邦理工学院) ; University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校)
机构 * Department of Applied Mathematics and Theoretical Physics, University of Cambridge(应用数学与理论物理系,剑桥大学) ; Department of Biomedical Engineering, The Hong Kong Polytechnic University(生物医学工程系,香港理工大学) ; Research Institute for Artificial Intelligence of Things, The Hong Kong Polytechnic University(物联网人工智能研究所,香港理工大学) ; Yau Mathematical Sciences Centre, Tsinghua University(叶德平数学科学中心,清华大学)
Comments Accepted to the IEEE Journal of Biomedical and Health Informatics (To appear)
机构 * University of Cambridge(剑桥大学) ; Nokia Bell Labs(诺基亚贝尔实验室)
Comments 5 pages, 2 figures, NeurIPS 2025 Machine Learning and the Physical Sciences (ML4PS)