4 papers
Fast Topology-Aware Lossy Data Compression with Full Preservation of Critical Points and Local Order
Alex Fallin, Nathaniel Gorski, Tripti Agarwal +3
Many scientific codes and instruments generate large amounts of floating-point data at high rates that must be compressed before they can be stored. Typically, only lossy compressi…
TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization
Nathaniel Gorski, Shusen Liu, Bei Wang
Recent agentic systems demonstrate that large language models can generate scientific visualizations from natural language. However, reliability remains a major limitation: systems…
TFZ: Topology-Preserving Compression of 2D Symmetric and Asymmetric Second-Order Tensor Fields
Nathaniel Gorski, Xin Liang, Hanqi Guo +1
In this paper, we present a novel compression framework, TFZ, that preserves the topology of 2D symmetric and asymmetric second-order tensor fields defined on flat triangular meshe…
A General Framework for Augmenting Lossy Compressors with Topological Guarantees
Nathaniel Gorski, Xin Liang, Hanqi Guo +2
Topological descriptors such as contour trees are widely utilized in scientific data analysis and visualization, with applications from materials science to climate simulations. It…