Dense Associative Memory Through the Lens of Random Features
Benjamin Hoover, Duen Horng Chau, et al.
NeurIPS 2024
Euler diagrams are a popular technique to visualize set-typed data. However, creating diagrams using simple shapes remains a challenging problem for many complex, real-life datasets. To solve this, we propose RectEuler: a flexible, fully-automatic method using rectangles to create Euler-like diagrams. We use an efficient mixed-integer optimization scheme to place set labels and element representatives (e.g., text or images) in conjunction with rectangles describing the sets. By defining appropriate constraints, we adhere to well-formedness properties and aesthetic considerations. If a dataset cannot be created within a reasonable time or at all, we iteratively split the diagram into multiple components until a drawable solution is found. Redundant encoding of the set membership using dots and set lines improves the readability of the diagram. Our web tool lets users see how the layout changes throughout the optimization process and provides interactive explanations. For evaluation, we perform quantitative and qualitative analysis across different datasets and compare our method to state-of-the-art Euler diagram generation methods.
Benjamin Hoover, Duen Horng Chau, et al.
NeurIPS 2024
Hendrik Strobelt, Benjamin Hoover, et al.
EMNLP 2021
Angie Boggust, Harini Suresh, et al.
FAccT 2023
Hendrik Strobelt, Jambay Kinley, et al.
IEEE TVCG