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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…

Cited by 0SourceScholar
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…

Cited by 0SourceScholar