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ORCIDPascal Fernsel
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2020 – today
- 2024
[c1]Pascal Fernsel, Zeljko Kereta, Alexander Denker:
Convergence Properties of Score-Based Models for Linear Inverse Problems Using Graduated Optimisation. MLSP 2024: 1-6- [i6]Pascal Fernsel, Zeljko Kereta, Alexander Denker:
Convergence Properties of Score-Based Models using Graduated Optimisation for Linear Inverse Problems. CoRR abs/2404.18699 (2024) - 2021
- [j2]Pascal Fernsel
:
Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization. J. Imaging 7(10): 194 (2021) - [i5]Pascal Fernsel:
Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization. CoRR abs/2104.12289 (2021) - [i4]Pascal Fernsel, Peter Maass:
Regularized Orthogonal Nonnegative Matrix Factorization and K-means Clustering. CoRR abs/2112.07641 (2021) - 2020
- [i3]Simon Robert Arridge, Pascal Fernsel, Andreas Hauptmann:
Joint Reconstruction and Low-Rank Decomposition for Dynamic Inverse Problems. CoRR abs/2005.14042 (2020)
2010 – 2019
- 2019
- [j1]Johannes Leuschner, Maximilian Schmidt, Pascal Fernsel, Delf Lachmund, Tobias Boskamp, Peter Maass:
Supervised non-negative matrix factorization methods for MALDI imaging applications. Bioinform. 35(11): 1940-1947 (2019) - 2018
- [i2]Jens Behrmann, Sören Dittmer, Pascal Fernsel, Peter Maaß:
Analysis of Invariance and Robustness via Invertibility of ReLU-Networks. CoRR abs/1806.09730 (2018) - [i1]Pascal Fernsel, Peter Maass:
A Survey on Surrogate Approaches to Non-negative Matrix Factorization. CoRR abs/1808.01975 (2018)
Coauthor Index
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