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cs.LG2026
Unrolled Neural Networks for Constrained Optimization
Samar Hadou, Alejandro Ribeiro
In this paper, we develop unrolled neural networks to solve constrained optimization problems, offering accelerated, learnable counterparts to dual ascent (DA) algorithms. Our fram…
cs.LG2025
Graph Signal Generative Diffusion Models
Yigit Berkay Uslu, Samar Hadou, Sergio Rozada +2
We introduce U-shaped encoder-decoder graph neural networks (U-GNNs) for stochastic graph signal generation using denoising diffusion processes. The architecture learns node featur…
cs.LG2025
Unrolled Graph Neural Networks for Constrained Optimization
Samar Hadou, Alejandro Ribeiro
In this paper, we unroll the dynamics of the dual ascent (DA) algorithm in two coupled graph neural networks (GNNs) to solve constrained optimization problems. The two networks int…