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

Frobenius-Type Norms and Inner Products of Matrices and Linear Maps with Applications to Neural Network Training. - Roland Herzog; Frederik Köhne; Leonie Kreis; Anton Schiela (CoRR, 2023)

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

Adaptive Step Sizes for Preconditioned Stochastic Gradient Descent. - Frederik Köhne; Leonie Kreis; Anton Schiela; Roland Herzog (CoRR, 2023)

L∞-error bounds for approximations of the Koopman operator by kernel extended dynamic mode decomposition. - Frederik Köhne; Friedrich M. Philipp; Manuel Schaller; Anton Schiela; Karl Worthmann (CoRR, 2024)

( boldsymbol{L}^{ boldsymbol{ infty }} )-error Bounds for Approximations of the Koopman Operator by Kernel Extended Dynamic Mode Decomposition. - Frederik Köhne; Friedrich M. Philipp; Manuel Schaller; Anton Schiela; Karl Worthmann (SIAM J. Appl. Dyn. Syst., 2025)

An Exponential Averaging Process with Strong Convergence Properties. - Frederik Köhne; Anton Schiela (CoRR, 2025)