Łukasz Struski
TitleCited byYear
Lossy compression approach to subspace clustering
Ł Struski, J Tabor, P Spurek
Information Sciences 435, 161-183, 2018
72018
Semi-supervised model-based clustering with controlled clusters leakage
M Śmieja, Ł Struski, J Tabor
Expert Systems with Applications 85, 146-157, 2017
62017
Generalized RBF kernel for incomplete data
M Śmieja, Ł Struski, J Tabor, M Marzec
Knowledge-Based Systems 173, 150-162, 2019
42019
Processing of missing data by neural networks
M Śmieja, Ł Struski, J Tabor, B Zieliński, P Spurek
Advances in Neural Information Processing Systems, 2719-2729, 2018
42018
Semi-supervised model-based clustering with controlled clusters leakage.
M Smieja, L Struski, J Tabor
Expert Syst. Appl. 85, 146-157, 2017
32017
Cone-fields without constant orbit core dimension
Ł Struski, J Tabor, T Kułaga
Discrete & Continuous Dynamical Systems-A 32 (10), 3651-3664, 2012
32012
Interpolation in generative models
Ł Struski, J Tabor, I Podolak, A Nowak
arXiv preprint arXiv:1904.03445, 2019
22019
Incomplete data representation for SVM classification
L Struski, M Smieja, J Tabor
arXiv preprint arXiv:1612.01480, 2016
22016
Geometric Graph Convolutional Neural Networks
P Spurek, T Danel, J Tabor, M Śmieja, Ł Struski, A Słowik, Ł Maziarka
arXiv preprint arXiv:1909.05310, 2019
12019
Deep processing of structured data
Ł Maziarka, M Śmieja, A Nowak, J Tabor, Ł Struski, P Spurek
12018
Subspace memory clustering
L Struski, J Tabor, P Spurek
Schedae Informaticae 24, 133, 2015
12015
Expansivity and cone-fields in metric spaces
Ł Struski, J Tabor
Journal of Dynamics and Differential Equations 26 (3), 517-527, 2014
12014
LocoGAN--Locally Convolutional GAN
Ł Struski, S Knop, J Tabor, W Daniec, P Spurek
arXiv preprint arXiv:2002.07897, 2020
2020
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints
M Śmieja, Ł Struski, MAT Figueiredo
arXiv preprint arXiv:2001.06720, 2020
2020
Set Aggregation Network as a Trainable Pooling Layer
Ł Maziarka, M Śmieja, A Nowak, J Tabor, Ł Struski, P Spurek
International Conference on Neural Information Processing, 419-431, 2019
2019
Projected memory clustering
Ł Struski, P Spurek, J Tabor, M Śmieja
Pattern Recognition Letters 123, 9-15, 2019
2019
Pointed subspace approach to incomplete data
L Struski, M Śmieja, J Tabor
Journal of Classification, 1-16, 2019
2019
Set aggregation network for structured data processing
Ł Maziarka, M Śmieja, A Nowak, J Tabor, Ł Struski, P Spurek
arXiv preprint arXiv:1810.01868, 2018
2018
Cascade context encoder for improved inpainting
B Zieliński, Ł Struski, M Śmieja, J Tabor
arXiv preprint arXiv:1803.04033, 2018
2018
Expansivity implies existence of Hölder continuous Lyapunov function
Ł Struski, J Tabor
Discrete & Continuous Dynamical Systems-B 22 (9), 3575, 2017
2017
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Articles 1–20