1 citations · 1 across the 4 of their papers we have counts for
5 papers
BMND: Direct Poisson Denoising by N-Dimensional Block Matching and Collaborative Filtering
Christof Duhme, Lars Schiefelbein, Florian Büther +1
Poisson denoising of scientific data requires methods that account for signal-dependent noise while accommodating different data dimensionalities and preserving quantitative intens…
Exploring Sparsity and Smoothness of Arbitrary Lp Norms in Adversarial Attacks
Christof Duhme, Florian Eilers, Xiaoyi Jiang
Adversarial attacks against deep neural networks are commonly constructed under norm constraints, most often using , or , and potentially regularized…
Perturbing the Phase: Analyzing Adversarial Robustness of Complex-Valued Neural Networks
Florian Eilers, Christof Duhme, Xiaoyi Jiang
Complex-valued neural networks (CVNNs) are rising in popularity for all kinds of applications. To safely use CVNNs in practice, analyzing their robustness against outliers is cruci…
Transformer-based Parameter Fitting of Models derived from Bloch-McConnell Equations for CEST MRI Analysis
Christof Duhme, Chris Lippe, Verena Hoerr +1
Chemical exchange saturation transfer (CEST) MRI is a non-invasive imaging modality for detecting metabolites. It offers higher resolution and sensitivity compared to conventional…
Clifford Kolmogorov-Arnold Networks
Matthias Wolff, Francesco Alesiani, Christof Duhme +1
We introduce Clifford Kolmogorov-Arnold Network (ClKAN), a flexible and efficient architecture for function approximation in arbitrary Clifford Algebra spaces. We propose the use o…