Record link: 
http://hdl.handle.net/20.500.12708/229938
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Title: 
Neural likelihood approximation for Bayesian inverse problems
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Citation: 
Schneider, F., Helin, T., & Taghizadeh, L. (2026, July 22). Neural likelihood approximation for Bayesian inverse problems [Conference Presentation]. Computational Methods in Applied Mathematics (CMAM 2026), Wien, Austria. http://hdl.handle.net/20.500.12708/229938
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Publication Type: 
Presentation - Conference Presentation
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Language: 
English
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Authors: 
Schneider, Fabian 
Helin, Tapio 
Taghizadeh, Leila 
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Organisational Unit: 
E101-03-2 - Forschungsgruppe Unsicherheitsquantifizierung 
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Date (published): 
22-Jul-2026
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Event name: 
Computational Methods in Applied Mathematics (CMAM 2026) 
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Event date: 
20-Jul-2026 - 24-Jul-2026
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Event place: 
Wien, Austria
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Keywords: 
Neural likelihood approximation; infinite dimensional Bayesian inverse problem; data-driven methods; semiconductor devices
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Project title: 
Rechnerische Unsicherheitsquantifizierung in Nanotechnologie: V 1000-N (FWF - Österr. Wissenschaftsfonds) 
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Research Areas: 
Mathematical and Algorithmic Foundations: 100%
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Science Branch: 
1010 - Mathematik: 100%
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