Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios

Posted on by Alessandra

10/07/2026

Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios

C. Bench1, E. Ahmed1 and S. Thomas1
1Department of Data Science and AI, National Physical Laboratory, Teddington, United Kingdom

Trustworthy image-to-image translation: evaluating uncertainty calibration in unpaired training scenarios in  2025 International Joint Conference on Neural Networks (IJCNN), Rome, Italy, 2025, pp. 1-10

doi: 10.1109/IJCNN64981.2025.11229379.

https://arxiv.org/abs/2501.17570

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The project 22HLT05 MAIBAI, started in September 2023, has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. Funding for the UK partners is provided by Innovate UK under the Horizon Europe Guarantee Extension.

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