Subhadip Mukherjee

Bilevel Learning of Task-Adapted Regularizers

In scientific imaging, reconstructing an unknown image from noisy, incomplete measurements is often necessary for downstream tasks (e.g., classification, segmentation). We address this using a task-adapted framework that learns a data-driven regularizer tailored to the specific analysis task. We propose a bilevel learn...