2026
Divergence-Free Neural Networks with Application to Image Denoising
ICLR 2026poster
We introduce a resource-efficient neural network architecture with zero divergence by design, adapted for high-dimensional problems. Our method is directly applicable to image denoising, for which divergence-free estimators are particularly well-suited for self-supervised learning, in accordance wit…