2026
Frequency-Dependent Scheduled Schrödinger Bridge for Underwater Acoustic Signal Denoising
AAAI 2026technical
Schrödinger Bridge-based diffusion models have demonstrated promising performance in signal denoising. However, since ground truth signals are unavailable during the sampling process, neural networks must be employed to learn the mapping, which breaks the theoretical coupling between diffusion and s