Kartheek Kumar Reddy Nareddy — accepted AI-conference papers

2025

Some Intriguing Observations on the Learnt Matrices in Deep Unfolded Networks

Kartheek Kumar Reddy Nareddy, Inbasekaran Perumal, Chandra Sekhar Seelamantula

ICASSP 2025accepted

Deep-unfolded networks (DUNs) have set new performance benchmarks in fields such as compressed sensing, image restoration, and wireless communications. DUNs are built from conventional iterative algorithms, where an iteration is transformed into a layer/block of a network with learnable parameters.…

Cited by 0 Source ↗Scholar ↗

2024

Image Restoration with Generalized L2 Loss and Convergent Plug-and-Play Priors

Kartheek Kumar Reddy Nareddy, Abijith Jagannath Kamath, Chandra Sekhar Seelamantula

ICASSP 2024accepted

Image restoration involves solving an optimization problem where the objective function is the sum of a data-fidelity term and a regularization functional that incorporates a desired image prior. Solving the optimization problem using proximal methods results in iterative algorithms that require com…

Cited by 0 Source ↗Scholar ↗