An Optimal Time Variable Learning Framework for Deep Neural Networks. - Harbir Antil; Hugo Díaz; Evelyn Herberg (CoRR, 2022)

Lecture Notes: Neural Network Architectures. - Evelyn Herberg (CoRR, 2023)

Time Regularization in Optimal Time Variable Learning. - Evelyn Herberg; Roland Herzog; Frederik Köhne (CoRR, 2023)

Sensitivity-Based Layer Insertion for Residual and Feedforward Neural Networks. - Evelyn Herberg; Roland Herzog; Frederik Köhne; Leonie Kreis; Anton Schiela (CoRR, 2023)

A DC-Reformulation for Gradient-L0-Constrained Problems in Function Spaces. - Bastian Dittrich; Evelyn Herberg; Roland Herzog; Georg Müller (CoRR, 2025)