3 papers
cs.CG2026
Neural Approximation of Generalized Voronoi Diagrams
Panagiotis Rigas, George Ioannakis, Ioannis Emiris
We introduce VoroFields, a hierarchical neural-field framework for approximating generalized Voronoi diagrams of finite geometric site sets in low-dimensional domains under arbitra…
math.AG2026
A sparse overview on sparse resultants
Carles Checa, Ioannis Z. Emiris, Christos Konaxis
In this survey, we give an overview of advances in the theory and computation of sparse resultants. First, we examine the construction and proof of the Canny-Emiris formula, which…
cs.CV2025
GARLIC: GAussian Representation LearnIng for spaCe partitioning
Panagiotis Rigas, Panagiotis Drivas, Charalambos Tzamos +4
We present \textbf{GARLIC}, a representation learning approach for Euclidean approximate nearest neighbor (ANN) search in high dimensions. Existing partitions tend to rely on isotr…