3 papers
cs.GR2026
Uncertainty-Aware Jacobi Set Computation
Daniel Klötzl, Daniel Weiskopf
We present an uncertainty-aware Jacobi set computation method. In general, Jacobi sets are topological descriptors that capture the gradient alignments of two scalar fields, as, e.…
cs.GR2025
Probabilistic Inclusion Depth for Fuzzy Contour Ensemble Visualization
Cenyang Wu, Daniel Klötzl, Qinhan Yu +4
We propose Probabilistic Inclusion Depth (PID) for the ensemble visualization of scalar fields. By introducing a probabilistic inclusion operator , our method is a g…
stat.ML2025
Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models
Daniel Klötzl, Ozan Tastekin, David Hägele +2
Multidimensional data is often associated with uncertainties that are not well-described by normal distributions. In this work, we describe how such distributions can be projected…