Background The life sciences, biomedicine and health care are increasingly turning into a
data intensive science [2–4]. Particularly in bioinformatics and computational biology we …

This system paper presents the Topology ToolKit (TTK), a software platform designed for the
topological analysis of scalar data in scientific visualization. While topological data analysis …

Abstract The Variational Auto-Encoder (VAE) is a popular method for learning a generative
model and embeddings of the data. Many real datasets are hierarchically structured …

This software paper gives an overview of the features supported by the Topology ToolKit
(TTK), which is an open-source library for topological data analysis (TDA). TTK implements …

This paper presents the state of the art in the area of topology‐based visualization. It
describes the process and results of an extensive annotation for generating a definition and …

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 robust and efficient method for tracking topological features in time-
varying scalar data. Structures are tracked based on the optimal matching between …

The increasing ability to collect data from urban environments, coupled with a push towards
openness by governments, has resulted in the availability of numerous spatio-temporal data …

The explosion in the volume of data about urban environments has opened up opportunities
to inform both policy and administration and thereby help governments improve the lives of …

This paper presents a new algorithm for the lossy compression of scalar data defined on 2D
or 3D regular grids, with topological control. Certain techniques allow users to control the …