77 citations · 207 across the 41 of their papers we have counts for
47 papers
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…
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…
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…
Fairness Aware Counterfactuals for Subgroups
Loukas Kavouras, Konstantinos Tsopelas, Giorgos Giannopoulos +6
In this work, we present Fairness Aware Counterfactuals for Subgroups (FACTS), a framework for auditing subgroup fairness through counterfactual explanations. We start with revisit…
PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision
Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan +5
Impressive progress in generative models and implicit representations gave rise to methods that can generate 3D shapes of high quality. However, being able to locally control and e…
Mixed subdivisions suitable for the Canny-Emiris formula
Carles Checa, Ioannis Z. Emiris
The Canny-Emiris formula gives the sparse resultant as the ratio of the determinant of a Sylvester-type matrix over a minor of it, both obtained via a mixed subdivision algorithm.…