In DDN, 1×1 convolutions are used only in the output layers of the Discrete Distribution Layer (DDL).
The NN blocks between DDLs, which supply the fundamental computational power and parameter count, adopt standard 3×3 convolutions.
3x3 convolution is the most common operator used to provide basic computational power.