Analysis of Invariance and Robustness via Invertibility of ReLU-Networks. - Jens Behrmann; Sören Dittmer; Pascal Fernsel; Peter Maaß (CoRR, 2018)

A Survey on Surrogate Approaches to Non-negative Matrix Factorization. - Pascal Fernsel; Peter Maass (CoRR, 2018)

Supervised non-negative matrix factorization methods for MALDI imaging applications. - Johannes Leuschner; Maximilian Schmidt; Pascal Fernsel; Delf Lachmund; Tobias Boskamp; Peter Maass (Bioinform., 2019)

Joint Reconstruction and Low-Rank Decomposition for Dynamic Inverse Problems. - Simon Robert Arridge; Pascal Fernsel; Andreas Hauptmann (CoRR, 2020)

Regularized Orthogonal Nonnegative Matrix Factorization and K-means Clustering. - Pascal Fernsel; Peter Maass (CoRR, 2021)

Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization. - Pascal Fernsel (J. Imaging, 2021)

Convergence Properties of Score-Based Models for Linear Inverse Problems Using Graduated Optimisation. - Pascal Fernsel; Zeljko Kereta; Alexander Denker (MLSP, 2024)

Convergence Properties of Score-Based Models using Graduated Optimisation for Linear Inverse Problems. - Pascal Fernsel; Zeljko Kereta; Alexander Denker (CoRR, 2024)

New universal operator approximation theorem for encoder-decoder architectures (Preprint). - Janek Gödeke; Pascal Fernsel (CoRR, 2025)