Brent De Weerdt — accepted AI-conference papers

2024

Learned Layered Coding for Successive Refinement in the Wyner-Ziv Problem

Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis

ICASSP 2024accepted

We propose a data-driven approach to explicitly learn the progressive encoding of a continuous source, which is successively decoded with increasing levels of quality and with the aid of correlated side information. This setup refers to the successive refinement of the Wyner-Ziv coding problem. Assu…

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2023

Designing Transformer Networks for Sparse Recovery of Sequential Data Using Deep Unfolding

Brent De Weerdt, Yonina C. Eldar, Nikos Deligiannis

ICASSP 2023accepted

Deep unfolding models are designed by unrolling an optimization algorithm into a deep learning network. These models have shown faster convergence and higher performance compared to the original optimization algorithms. Additionally, by incorporating domain knowledge from the optimization algorithm,…

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