6 papers
Topology-Inspired Fine-Tuning for Wind-Field Super-Resolution
Arjun Dadhwal, Brian Summa
Scientific super-resolution (SR) models are typically optimized with pointwise reconstruction losses, yet scientific interpretation often hinges on extrema, connected regions, and…
SteeringDiffusion: A Bottlenecked Activation Control Interface for Diffusion Models
Fangzheng Wu, Brian Summa
We introduce SteeringDiffusion, a bottlenecked activation-level control interface for diffusion models that exposes a smooth, monotonic, and runtime-adjustable control surface over…
PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning
Syed Fahim Ahmed, Gnanesh Rasineni, Florian Koehler +7
Whole-slide image (WSI) classification in computational pathology is commonly formulated as slide-level Multiple Instance Learning (MIL) with a single global bag representation. Ho…
Visualizing Topological Importance: A Class-Driven Approach
Yu Qin, Brittany Terese Fasy, Carola Wenk +1
This paper presents the first approach to visualize the importance of topological features that define classes of data. Topological features, with their ability to abstract the fun…
A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces for Clustering
Yu Qin, Brittany Terese Fasy, Carola Wenk +1
Persistence diagrams have been widely used to quantify the underlying features of filtered topological spaces in data visualization. In many applications, computing distances betwe…
Persistence Atlas for Critical Point Variability in Ensembles
Guillaume Favelier, Noura Faraj, Brian Summa +1
This paper presents a new approach for the visualization and analysis of the spatial variability of features of interest represented by critical points in ensemble data. Our framew…