3 papers
cs.LG2026
Variance Reduction for Non-Log-Concave Sampling with Applications to Inverse Problems
M. Berk Sahin, Ahmet Ege Tanriverdi, Behzad Sharif +1
Sampling from high-dimensional, non-log-concave distributions with unnormalized densities is a fundamental challenge in machine learning, particularly when the exact gradient of th…
cs.LG2026
Zeroth-Order Non-Log-Concave Sampling with Variance Reduction and Applications to Inverse Problems
M. Berk Sahin, Behzad Sharif, Abolfazl Hashemi
Sampling from high-dimensional, non-log-concave distributions with unnormalized densities remains a fundamental challenge in machine learning, particularly in black-box settings wh…
cs.CV2026
Phase-map synthesis from magnitude-only MR images using conditional score-based diffusion models with application in training of accelerated MRI reconstruction models
M. Berk Sahin, Dilek Yalcinkaya, Abolfazl Hashemi +1
Accelerated magnetic resonance imaging (MRI) enabled by the training of deep learning (DL)-based image recon. models requires large and diverse raw k-space datasets. In most clinic…