Proves polynomial-in-width and exponential-in-depth lower bounds on linear regions for ternary ReLU regression networks, with width-doubling constructions achieving bounds comparable to unrestricted ReLU networks.
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A Lower Bound for the Number of Linear Regions of Ternary ReLU Regression Neural Networks
Proves polynomial-in-width and exponential-in-depth lower bounds on linear regions for ternary ReLU regression networks, with width-doubling constructions achieving bounds comparable to unrestricted ReLU networks.