Voronoi Boundary Classification: A High-Dimensional Geometric Approach via Weighted Monte Carlo Integration. - Vladislav Polianskii; Florian T. Pokorny (ICML, 2019)

Voronoi Graph Traversal in High Dimensions with Applications to Topological Data Analysis and Piecewise Linear Interpolation. - Vladislav Polianskii; Florian T. Pokorny (KDD, 2020)

Delaunay Component Analysis for Evaluation of Data Representations. - Petra Poklukar; Vladislav Polianskii; Anastasiia Varava; Florian T. Pokorny; Danica Kragic (ICLR, 2022)

Active Nearest Neighbor Regression Through Delaunay Refinement. - Alexander Kravberg; Giovanni Luca Marchetti; Vladislav Polianskii; Anastasiia Varava; Florian T. Pokorny; Danica Kragic (ICML, 2022)

Voronoi density estimator for high-dimensional data: Computation, compactification and convergence. - Vladislav Polianskii; Giovanni Luca Marchetti; Alexander Kravberg; Anastasiia Varava; Florian T. Pokorny; Danica Kragic (UAI, 2022)

Delaunay Component Analysis for Evaluation of Data Representations. - Petra Poklukar; Vladislav Polianskii; Anastasia Varava; Florian T. Pokorny; Danica Kragic (CoRR, 2022)

Breaking the Dimensionality Curse of Voronoi Tessellations. - Vladislav Polianskii (2022)

An Efficient and Continuous Voronoi Density Estimator. - Giovanni Luca Marchetti; Vladislav Polianskii; Anastasiia Varava; Florian T. Pokorny; Danica Kragic (AISTATS, 2023)

InvMap and Witness Simplicial Variational Auto-Encoders. - Aniss Aiman Medbouhi; Vladislav Polianskii; Anastasia Varava; Danica Kragic (Mach. Learn. Knowl. Extr., 2023)

Hyperbolic Delaunay Geometric Alignment. - Aniss Aiman Medbouhi; Giovanni Luca Marchetti; Vladislav Polianskii; Alexander Kravberg; Petra Poklukar; Anastasia Varava; Danica Kragic (ECML/PKDD (3), 2024)