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math.OC2026
Exact ensemble controllability for neural differential equations via neural interpolation
Martin Gugat
We study a system that is governed by neural dynamics. Neural dynamics are a model for deep neural networks with a large number of layers. For a differential equation where the rig…
math.OC2026
Optimizing Initial Feature-Mapping Variables from Given Designs via Tracking
Patrick Jung
A feature-mapping framework for inverse reconstruction of density-based topology optimization results is proposed. Unlike SIMP, whose voxelized outputs are hard to interpret or reu…