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Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models
View ORCID ProfileAli Hashemi, Chang Cai, View ORCID ProfileYijing Gao, View ORCID ProfileSanjay Ghosh, View ORCID ProfileKlaus-Robert Müller, View ORCID ProfileSrikantan S. Nagarajan, View ORCID ProfileStefan Haufe
doi: https://doi.org/10.1101/2021.11.28.470264
Ali Hashemi
1Uncertainty, Inverse Modeling and Machine Learning Group, Technische Universität Berlin, Germany
Chang Cai
4Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
Yijing Gao
4Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
Sanjay Ghosh
4Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
Klaus-Robert Müller
5Machine Learning Group, Technische Universität Berlin, Germany, BIFOLD – Berlin Institute for the Foundations of Learning and Data, Berlin, Germany
6Department of Artificial Intelligence, Korea University, Seoul, South Korea
7Max Planck Institute for Informatics, Saarbrücken, Germany
Roles: Member, IEEE
Srikantan S. Nagarajan
4Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
Roles: Fellow, IEEE
Stefan Haufe
1Uncertainty, Inverse Modeling and Machine Learning Group, Technische Universität Berlin, Germany
2Physikalisch-Technische Bundesanstalt Braunschweig und Berlin, Germany
3Charité – Universitätsmedizin Berlin, Germany
Posted November 28, 2021.
Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models
Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
bioRxiv 2021.11.28.470264; doi: https://doi.org/10.1101/2021.11.28.470264
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