Approximating Langevin Monte Carlo with ResNet-like Neural Network architectures. - Martin Eigel; Charles Miranda; Janina Schütte; David Sommer (CoRR, 2023)

Adaptive Multilevel Neural Networks for Parametric PDEs with Error Estimation. - Janina E. Schütte; Martin Eigel (CoRR, 2024)

Multilevel CNNs for Parametric PDEs based on Adaptive Finite Elements. - Janina E. Schütte; Martin Eigel (CoRR, 2024)

Sampling from Boltzmann Densities with Physics Informed Low-Rank Formats. - Paul Hagemann; Janina Schütte; David Sommer; Martin Eigel; Gabriele Steidl (SSVM (1), 2025)

Multi-level Neural Networks for high-dimensional parametric obstacle problems. - Martin Eigel; Cosmas Heiß; Janina E. Schütte (CoRR, 2025)