Voronoi Graph Traversal in High Dimensions with Applications to Topological Data Analysis and Piecewise Linear Interpolation V Polianskii, FT Pokorny Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 16 | 2020 |
Voronoi Boundary Classification: A High-Dimensional Geometric Approach via Weighted Monte Carlo Integration V Polianskii, FT Pokorny International Conference on Machine Learning, 5162-5170, 2019 | 14 | 2019 |
Delaunay component analysis for evaluation of data representations P Poklukar, V Polianskii, A Varava, FT Pokorny, D Kragic 10th International Conference on Learning Representations, ICLR 2022, Apr 25 …, 2022 | 12 | 2022 |
Witness autoencoder: Shaping the latent space with witness complexes ST Schönenberger, A Varava, V Polianskii, JJ Chung, D Kragic, ... TDA {\&} Beyond, 2020 | 8 | 2020 |
Voronoi Density Estimator for High-Dimensional Data: Computation, Compactification and Convergence V Polianskii, GL Marchetti, A Kravchenko, A Varava, FT Pokorny, ... The 38th Conference on Uncertainty in Artificial Intelligence, 2022 | 5 | 2022 |
An Efficient and Continuous Voronoi Density Estimator GL Marchetti, V Polianskii, A Varava, FT Pokorny, D Kragic International Conference on Artificial Intelligence and Statistics, 4732-4744, 2023 | 3 | 2023 |
Active Nearest Neighbor Regression Through Delaunay Refinement A Kravberg, GL Marchetti, V Polianskii, A Varava, FT Pokorny, D Kragic International Conference on Machine Learning, 11650-11664, 2022 | 3 | 2022 |
Breaking the Dimensionality Curse of Voronoi Tessellations V Polianskii KTH Royal Institute of Technology, 2022 | 1 | 2022 |
An Investigation of Neural Network Structure with Topological Data Analysis V Polianskii KTH Royal Institute of Technology, 2018 | 1 | 2018 |
Hyperbolic Delaunay Geometric Alignment AA Medbouhi, GL Marchetti, V Polianskii, A Kravberg, P Poklukar, ... arXiv preprint arXiv:2404.08608, 2024 | | 2024 |
InvMap and Witness Simplicial Variational Auto-Encoders AA Medbouhi, V Polianskii, A Varava, D Kragic Machine Learning and Knowledge Extraction 5 (1), 199-236, 2023 | | 2023 |