02/18/2026
Most CNN-based biomedical reconstruction methods rely on trainable regularizers or PnP denoisers—but both need strict stability constraints that limit model expressivity. Dr. Unser will show how making activation functions trainable (with controlled slopes) can break this bottleneck and open the door to more powerful reconstruction networks.
⚡Register at https://hubs.la/Q043z4tG0