4 papers
Coherent Visualization of 2D Scalar Field Contour Ensembles With Probabilistic Latent Space Modeling
Cenyang Wu, Runhao Lin, Qinhan Yu +1
We present a new visualization method for contour ensembles through probabilistic modeling. We aim to improve the coherence between different visual representations, such as contou…
Visualization of Machine Learning Models through Their Spatial and Temporal Listeners
Siyu Wu, Lei Shi, Lei Xia +5
Model visualization (ModelVis) has emerged as a major research direction, yet existing taxonomies are largely organized by data or tasks, making it difficult to treat models as fir…
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…
Ensemble Visualization With Variational Autoencoder
Cenyang Wu, Qinhan Yu, Liang Zhou
We present a new method to visualize data ensembles by constructing structured probabilistic representations in latent spaces, i.e., lower-dimensional representations of spatial da…