Łukasz Struski
Tytuł
Cytowane przez
Cytowane przez
Rok
Processing of missing data by neural networks
M Smieja, Ł Struski, J Tabor, B Zieliński, P Spurek
arXiv preprint arXiv:1805.07405, 2018
372018
Generalized RBF kernel for incomplete data
M Śmieja, Ł Struski, J Tabor, M Marzec
Knowledge-Based Systems 173, 150-162, 2019
152019
Generalized RBF kernel for incomplete data
M Śmieja, Ł Struski, J Tabor, M Marzec
Knowledge-Based Systems 173, 150-162, 2019
152019
Lossy compression approach to subspace clustering
Ł Struski, J Tabor, P Spurek
Information Sciences 435, 161-183, 2018
92018
Geometric graph convolutional neural networks
P Spurek, T Danel, J Tabor, M Smieja, L Struski, A Slowik, L Maziarka
arXiv preprint arXiv:1909.05310, 2019
7*2019
A classification-based approach to semi-supervised clustering with pairwise constraints
M Śmieja, Ł Struski, MAT Figueiredo
Neural Networks 127, 193-203, 2020
52020
Semi-supervised model-based clustering with controlled clusters leakage
M Śmieja, Ł Struski, J Tabor
Expert Systems with Applications 85, 146-157, 2017
52017
Can autoencoders help with filling missing data
M Śmieja, M Kołomycki, L Struski, M Juda, MAT Figueiredo
ICLR 2020 Workshop on Integration of Deep Neural Models and Differential …, 2020
42020
Neuro-SERKET: development of integrative cognitive system through the composition of deep probabilistic generative models
T Taniguchi, T Nakamura, M Suzuki, R Kuniyasu, K Hayashi, A Taniguchi, ...
New Generation Computing, 1-26, 2020
3*2020
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, 2012
32012
Incomplete data representation for SVM classification
L Struski, M Smieja, J Tabor
arXiv preprint arXiv:1612.01480, 2016
22016
Expansivity and cone-fields in metric spaces
Ł Struski, J Tabor
Journal of Dynamics and Differential Equations 26 (3), 517-527, 2014
22014
Iterative imputation of missing data using auto-encoder dynamics
M Śmieja, M Kołomycki, Ł Struski, M Juda, MAT Figueiredo
International Conference on Neural Information Processing, 258-269, 2020
12020
Processing of incomplete images by (graph) convolutional neural networks
T Danel, M Śmieja, Ł Struski, P Spurek, Ł Maziarka
International Conference on Neural Information Processing, 512-523, 2020
12020
Deep processing of structured data
Ł Maziarka, M Śmieja, A Nowak, J Tabor, Ł Struski, P Spurek
12018
Subspace memory clustering
Ł Struski, J Tabor, P Spurek
Schedae Informaticae 24, 2015
12015
HyperPocket: Generative Point Cloud Completion
P Spurek, A Kasymov, M Mazur, D Janik, S Tadeja, Ł Struski, J Tabor, ...
arXiv preprint arXiv:2102.05973, 2021
2021
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery
D Rymarczyk, Ł Struski, J Tabor, B Zieliński
arXiv preprint arXiv:2011.14340, 2020
2020
Estimating conditional density of missing values using deep gaussian mixture model
M Przewięźlikowski, M Śmieja, Ł Struski
International Conference on Neural Information Processing, 220-231, 2020
2020
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20