3 papers
cs.CV2025
Minimax Multi-Target Conformal Prediction with Applications to Imaging Inverse Problems
Jeffrey Wen, Rizwan Ahmad, Philip Schniter
In ill-posed imaging inverse problems, uncertainty quantification remains a fundamental challenge, especially in safety-critical applications. Recently, conformal prediction has be…
cs.CV2025
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
Jeffrey Wen, Rizwan Ahmad, Philip Schniter
In imaging inverse problems, we would like to know how close the recovered image is to the true image in terms of full-reference image quality (FRIQ) metrics like PSNR, SSIM, LPIPS…
cs.CV2025
Solving Inverse Problems using Diffusion with Iterative Colored Renoising
Matt C. Bendel, Saurav K. Shastri, Rizwan Ahmad +1
Imaging inverse problems can be solved in an unsupervised manner using pre-trained diffusion models, but doing so requires approximating the gradient of the measurement-conditional…