Publications

This list may not be up to date. For the most current publications, please refer to my Google Scholar profile.

2024

  1. NeurIPS Workshops
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    Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification
    Canberk Ekmekci, Tekin Bicer, Zichao (Wendy) Di, and 2 more authors
    In Machine Learning and the Physical Sciences Workshop at NeurIPS 2024, 2024
  2. GJI
    On the Detection of Upper Mantle Discontinuities with Radon-Transformed Receiver Functions (CRISP-RF)
    Tolulope Olugboji, Ziqi Zhang, Steve Carr, and 2 more authors
    Geophysical Journal International, Feb 2024

2023

  1. NeurIPS Workshops
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    Quantifying Generative Model Uncertainty in Posterior Sampling Methods for Computational Imaging
    Canberk Ekmekci and Mujdat Cetin
    In NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, Feb 2023
  2. EI-COIMG
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    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
    Canberk Ekmekci and Mujdat Cetin
    In IS&T International Symposium on Electronic Imaging, Jan 2023

2022

  1. IEEE TCI
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    Uncertainty Quantification for Deep Unrolling-Based Computational Imaging
    Canberk Ekmekci and Mujdat Cetin
    IEEE Transactions on Computational Imaging, Jan 2022

2021

  1. EI-COIMG
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    Model-Based Bayesian Deep Learning Architecture for Linear Inverse Problems in Computational Imaging
    Canberk Ekmekci and Mujdat Cetin
    In Proceedings of the IS&T International Symposium on Electronic Imaging: Computational Imaging XIX, Jan 2021
  2. ICCV Workshops
    lci_2021_pnp_uq.png
    What Does Your Computational Imaging Algorithm Not Know?: A Plug-and-Play Model Quantifying Model Uncertainty
    Canberk Ekmekci and Mujdat Cetin
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Oct 2021