Publications of Dr. Pascal Fernsel
Articles (4)
- S. Arridge, P. Fernsel, A. Hauptmann.
Joint Reconstruction and Low-Rank Decomposition for Dynamic Inverse Problems.
Inverse Problems and Imaging, 16(3):483-523, 2022.DOI: 10.3934/ipi.2021059
- P. Fernsel.
Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization.
MDPI Journal of Imaging, 7(10), 2021.DOI: 10.3390/jimaging7100194
online at: https://www.mdpi.com/2313-433X/7/10/194 - P. Fernsel, P. Maaß.
A Survey on Surrogate Approaches to Non-negative Matrix Factorization.
Vietnam Journal of Mathematics, 46(4):987-1021, Springer Verlag, 2018. - J. Leuschner, M. Schmidt, P. Fernsel, D. Lachmund, T. Boskamp, P. Maaß.
Supervised Non-negative Matrix Factorization Methods for MALDI Imaging Applications.
Bioinformatics, bty909 , 2018.
Preprints (3)
- J. Gödeke, P. Fernsel.
New universal operator approximation theorem for encoder-decoder architectures (Preprint).
Zur Veröffentlichung eingereicht.online at: https://arxiv.org/abs/2503.24092
- P. Fernsel, P. Maaß.
Regularized Orthogonal Nonnegative Matrix Factorization and K-means Clustering.
Zur Veröffentlichung eingereicht.online at: https://arxiv.org/abs/2112.07641
- J. Behrmann, S. Dittmer, P. Fernsel, P. Maaß.
Analysis of Invariance and Robustness via Invertibility of ReLU-Networks.
Zur Veröffentlichung eingereicht.online at: https://arxiv.org/abs/1806.09730
PhD/Habilitation Thesis (1)
- P. Fernsel.
Nonnegative Matrix Factorization: Theory, Algorithms and Applications.
Dissertationsschrift, Universität Bremen, 2022.DOI: 10.26092/elib/1493
online at: https://doi.org/10.26092/elib/1493
Proceedings (1)
- P. Fernsel, Z. Kereta, A. Denker.
Convergence Properties of Score-Based Models using Graduated Optimisation for Linear Inverse Problems.
2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP), 22.09.-25.09.2024, London, UK.
IEEE, pp. 1-6, 2024.