5 citations · 9 across the 4 of their papers we have counts for
8 papers
Conversational Task Disambiguation over Tabular Data: Leakage-Aware Formulation, Benchmark Suite, and Training
Nafiseh Ghoroghchian, Luis Scoccola, Tina Sedaghat +4
Conversational task disambiguation over tabular data uses dialogue to resolve missing information about a user's intended task before producing a solution over tables or databases.…
Cover Learning for Large-Scale Topology Representation
Luis Scoccola, Uzu Lim, Heather A. Harrington
Classical unsupervised learning methods like clustering and linear dimensionality reduction parametrize large-scale geometry when it is discrete or linear, while more modern method…
Toroidal Coordinates: Decorrelating Circular Coordinates With Lattice Reduction
Luis Scoccola, Hitesh Gakhar, Johnathan Bush +4
The circular coordinates algorithm of de Silva, Morozov, and Vejdemo-Johansson takes as input a dataset together with a cohomology class representing a -dimensional hole in the…
FibeRed: Fiberwise Dimensionality Reduction of Topologically Complex Data with Vector Bundles
Luis Scoccola, Jose A. Perea
Datasets with non-trivial large scale topology can be hard to embed in low-dimensional Euclidean space with existing dimensionality reduction algorithms. We propose to model topolo…
Approximate and discrete Euclidean vector bundles
Luis Scoccola, Jose A. Perea
We introduce -approximate versions of the notion of Euclidean vector bundle for , which recover the classical notion of Euclidean vector bundle whe…
Stable and consistent density-based clustering via multiparameter persistence
Alexander Rolle, Luis Scoccola
We consider the degree-Rips construction from topological data analysis, which provides a density-sensitive, multiparameter hierarchical clustering algorithm. We analyze its stabil…
Nilpotent Types and Fracture Squares in Homotopy Type Theory
Luis Scoccola
We develop the basic theory of nilpotent types and their localizations away from sets of numbers in Homotopy Type Theory. For this, general results about the classifying spaces of…
Visualization tools for parameter selection in cluster analysis
Alexander Rolle, Luis Scoccola
We propose an algorithm, HPREF (Hierarchical Partitioning by Repeated Features), that produces a hierarchical partition of a set of clusterings of a fixed dataset, such as sets of…