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Found 3 papers, 2 papers with code
Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation
This work proposes a novel channel estimator based on diffusion models (DMs), one of the currently top-rated generative models.
On the Asymptotic Mean Square Error Optimality of Diffusion Models
Diffusion models (DMs) as generative priors have recently shown great potential for denoising tasks but lack theoretical understanding with respect to their mean square error (MSE) optimality.
Spiking Neural Network Nonlinear Demapping on Neuromorphic Hardware for IM/DD Optical Communication
The SNN demapper is implemented in software and on the analog neuromorphic hardware system BrainScaleS-2 (BSS-2).
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