Topological deep learning (TDL) is a rapidly evolving field that uses topological features to
understand and design deep learning models. This paper posits that TDL may complement …

Topological deep learning (TDL) is a rapidly evolving field that uses topological features to
understand and design deep learning models. This paper posits that TDL is the new frontier …

This paper presents a new algorithm for the fast, shared memory multi-core computation of
augmented merge trees on triangulations. In contrast to most existing parallel algorithms …

This paper presents a new algorithm for the fast, shared memory, multi-core computation of
augmented contour trees on triangulations. In contrast to most existing parallel algorithms …

We present a state‐of‐the‐art report on visualization in astrophysics. We survey
representative papers from both astrophysics and visualization and provide a taxonomy of …

This paper presents, to the best of our knowledge, the first parallel algorithm for the
computation of the augmented Reeb graph of piecewise linear scalar data. Such augmented …

Scatterplots are used for a variety of visual analytics tasks, including cluster identification,
and the visual encodings used on a scatterplot play a deciding role on the level of visual …

Scalar field comparison is a fundamental task in scientific visualization. In topological data
analysis, we compare topological descriptors of scalar fields—such as persistence diagrams …

The Reeb graph of a scalar function that is defined on a domain gives a topologically
meaningful summary of that domain. Reeb graphs have been shown in the past decade to …

Color maps are a commonly used visualization technique in which data are mapped to
optical properties, eg, color or opacity. Color maps, however, do not explicitly convey …