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Davide Gallon

PhD student, Westfälische Wilhelms-Universität Münster

1 paper at NeurIPS 2025

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Poster Session 1

Wednesday, December 3, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

SAD Neural Networks: Divergent Gradient Flows and Asymptotic Optimality via o-minimal Structures

#907 · Julian Kranz, Davide Gallon, Steffen Dereich, Arnulf Jentzen

We prove divergence results for gradient flows for deep neural networks with analytic activation and polynomial target functions.