Then we introduce a semantic mapper that produces the proxy masks from various input conditions including semantic masks.

Our design policy successfully achieves amortized intervention design on the distribution of the training environment while also generalizing well to distribution shifts in test-time design environments.

To address this gap, we study deterministic/stochastic versions of SAM with practical configurations (i.e., constant

Neural circuits are typically comprised of populations of primary (excitatory) neurons and local (inhibitory) interneurons.