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Vladislav Polianskii
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Year
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
132020
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
122019
Delaunay component analysis for evaluation of data representations
P Poklukar, V Polianskii, A Varava, FT Pokorny, D Kragic
International Conference on Learning Representations; Apr 25th through Fri …, 2022
102022
Witness autoencoder: Shaping the latent space with witness complexes
ST Schönenberger, A Varava, V Polianskii, JJ Chung, D Kragic, ...
TDA {\&} Beyond, 2020
82020
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
42022
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
32022
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
22023
Breaking the Dimensionality Curse of Voronoi Tessellations
V Polianskii
KTH Royal Institute of Technology, 2022
12022
An Investigation of Neural Network Structure with Topological Data Analysis
V Polianskii
KTH Royal Institute of Technology, 2018
12018
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
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Articles 1–10