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Moritz Stargalla

2 accepted papers

2026

Parameterized Hardness of Zonotope Containment and Neural Network Verification

ICLR 2026poster

Neural networks with ReLU activations are a widely used model in machine learning. It is thus important to have a profound understanding of the properties of the functions computed by such networks. Recently, there has been increasing interest in the (parameterized) computational complexity of deter…

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2025

The Computational Complexity of Counting Linear Regions in ReLU Neural Networks

NeurIPS 2025poster

An established measure of the expressive power of a given ReLU neural network is the number of linear regions into which it partitions the input space. There exist many different, non-equivalent definitions of what a linear region actually is. We systematically assess which papers use which definiti…

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