Canberk Ekmekci
Orcid: 0000-0002-3323-3770
According to our database1,
Canberk Ekmekci
authored at least 7 papers
between 2018 and 2025.
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Bibliography
2025
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging.
CoRR, April, 2025
2024
Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification.
CoRR, 2024
2023
Automatic parameter tuning for plug-and-play algorithms using generalized cross validation and Stein's unbiased risk estimation for linear inverse problems in computational imaging.
Proceedings of the Computational Imaging XXI, San Francisco, 2023
2022
IEEE Trans. Computational Imaging, 2022
2021
What Does Your Computational Imaging Algorithm Not Know?: A Plug-and-Play Model Quantifying Model Uncertainty.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Model-Based Bayesian Deep Learning Architecture for Linear Inverse Problems in Computational Imaging.
Proceedings of the Computational Imaging XIX, Virtual Event, 11-28 January 2021., 2021
2018
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018