Strict localization of eigenvectors and eigenvalues - Lukasz Struski; Jacek Tabor (CoRR, 2012)

Incomplete data representation for SVM classification. - Lukasz Struski; Marek Smieja; Jacek Tabor (CoRR, 2016)

Semi-supervised model-based clustering with controlled clusters leakage. - Marek Smieja; Lukasz Struski; Jacek Tabor (Expert Syst. Appl., 2017)

Processing of missing data by neural networks. - Marek Smieja; Lukasz Struski; Jacek Tabor; Bartosz Zielinski 001; Przemyslaw Spurek (NeurIPS, 2018)

Cascade context encoder for improved inpainting. - Bartosz Zielinski 001; Lukasz Struski; Marek Smieja; Jacek Tabor (CoRR, 2018)

Deep processing of structured data. - Lukasz Maziarka; Marek Smieja; Aleksandra Nowak 001; Jacek Tabor; Lukasz Struski; Przemyslaw Spurek (CoRR, 2018)

Lossy compression approach to subspace clustering. - Lukasz Struski; Jacek Tabor; Przemyslaw Spurek (Inf. Sci., 2018)

Fast independent component analysis algorithm with a simple closed-form solution. - Przemyslaw Spurek; Jacek Tabor; Lukasz Struski; Marek Smieja (Knowl. Based Syst., 2018)

Set Aggregation Network as a Trainable Pooling Layer. - Lukasz Maziarka; Marek Smieja; Aleksandra Nowak 001; Jacek Tabor; Lukasz Struski; Przemyslaw Spurek (ICONIP (2), 2019)

Interpolation in generative models. - Lukasz Struski; Jacek Tabor; Igor T. Podolak; Aleksandra Nowak 001 (CoRR, 2019)

Independent Component Analysis based on multiple data-weighting. - Andrzej Bedychaj; Przemyslaw Spurek; Lukasz Struski; Jacek Tabor (CoRR, 2019)

Geometric Graph Convolutional Neural Networks. - Przemyslaw Spurek; Tomasz Danel; Jacek Tabor; Marek Smieja; Lukasz Struski; Agnieszka Slowik; Lukasz Maziarka (CoRR, 2019)

Generalized RBF kernel for incomplete data. - Marek Smieja; Lukasz Struski; Jacek Tabor; Mateusz Marzec (Knowl. Based Syst., 2019)

Projected memory clustering. - Lukasz Struski; Przemyslaw Spurek; Jacek Tabor; Marek Smieja (Pattern Recognit. Lett., 2019)

Processing of Incomplete Images by (Graph) Convolutional Neural Networks. - Tomasz Danel; Marek Smieja; Lukasz Struski; Przemyslaw Spurek; Lukasz Maziarka (ICONIP (2), 2020)

Spatial Graph Convolutional Networks. - Tomasz Danel; Przemyslaw Spurek; Jacek Tabor; Marek Smieja; Lukasz Struski; Agnieszka Slowik; Lukasz Maziarka (ICONIP (5), 2020)

Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model. - Marcin Przewiezlikowski; Marek Smieja; Lukasz Struski (ICONIP (3), 2020)

Iterative Imputation of Missing Data Using Auto-Encoder Dynamics. - Marek Smieja; Maciej Kolomycki; Lukasz Struski; Mateusz Juda; Mário A. T. Figueiredo (ICONIP (3), 2020)

Pointed Subspace Approach to Incomplete Data. - Lukasz Struski; Marek Smieja; Jacek Tabor (J. Classif., 2020)

Flow-based anomaly detection. - Lukasz Maziarka; Marek Smieja; Marcin Sendera; Lukasz Struski; Jacek Tabor; Przemyslaw Spurek (CoRR, 2020)

ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery. - Dawid Rymarczyk; Lukasz Struski; Jacek Tabor; Bartosz Zielinski 001 (CoRR, 2020)

A classification-based approach to semi-supervised clustering with pairwise constraints. - Marek Smieja; Lukasz Struski; Mário A. T. Figueiredo (Neural Networks, 2020)

Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data. - Marcin Sendera; Lukasz Struski; Przemyslaw Spurek (ICONIP (5), 2021)

ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. - Dawid Rymarczyk; Lukasz Struski; Jacek Tabor; Bartosz Zielinski 001 (KDD, 2021)

SONG: Self-Organizing Neural Graphs. - Lukasz Struski; Tomasz Danel; Marek Smieja; Jacek Tabor; Bartosz Zielinski 001 (CoRR, 2021)

Flow-based SVDD for anomaly detection. - Marcin Sendera; Marek Smieja; Lukasz Maziarka; Lukasz Struski; Przemyslaw Spurek; Jacek Tabor (CoRR, 2021)

Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design. - Dawid Warszycki; Lukasz Struski; Marek Smieja; Rafal Kafel; Rafal Kurczab (J. Chem. Inf. Model., 2021)

Interpretable Image Classification with Differentiable Prototypes Assignment. - Dawid Rymarczyk; Lukasz Struski; Michal Górszczak; Koryna Lewandowska; Jacek Tabor; Bartosz Zielinski 001 (ECCV (12), 2022)

HyperPocket: Generative Point Cloud Completion. - Przemyslaw Spurek; Artur Kasymov; Marcin Mazur; Diana Janik; Slawomir Konrad Tadeja; Lukasz Struski; Jacek Tabor; Tomasz Trzcinski (IROS, 2022)

MisConv: Convolutional Neural Networks for Missing Data. - Marcin Przewiezlikowski; Marek Smieja; Lukasz Struski; Jacek Tabor (WACV, 2022)

ProPaLL: Probabilistic Partial Label Learning. - Lukasz Struski; Jacek Tabor; Bartosz Zielinski 001 (CoRR, 2022)

LocoGAN - Locally convolutional GAN. - Lukasz Struski; Szymon Knop; Przemyslaw Spurek; Wiktor Daniec; Jacek Tabor (Comput. Vis. Image Underst., 2022)

OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region. - Lukasz Maziarka; Marek Smieja; Marcin Sendera; Lukasz Struski; Jacek Tabor; Przemyslaw Spurek (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Bounding Evidence and Estimating Log-Likelihood in VAE. - Lukasz Struski; Marcin Mazur; Pawel Batorski; Przemyslaw Spurek; Jacek Tabor (AISTATS, 2023)

ProPML: Probability Partial Multi-label Learning. - Lukasz Struski; Adam Pardyl; Jacek Tabor; Bartosz Zielinski 001 (DSAA, 2023)

ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. - Lukasz Struski; Dawid Rymarczyk; Arkadiusz Lewicki; Robert Sabiniewicz; Jacek Tabor; Bartosz Zielinski 001 (ECAI, 2023)

r-softmax: Generalized Softmax with Controllable Sparsity Rate. - Klaudia Balazy; Lukasz Struski; Marek Smieja; Jacek Tabor (ICCS (2), 2023)

ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. - Mikolaj Sacha; Dawid Rymarczyk; Lukasz Struski; Jacek Tabor; Bartosz Zielinski 001 (WACV, 2023)

SONGs: Self-Organizing Neural Graphs. - Lukasz Struski; Tomasz Danel; Marek Smieja; Jacek Tabor; Bartosz Zielinski 001 (WACV, 2023)

MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy. - Lukasz Struski; Tomasz Urbanczyk; Krzysztof Bucki; Bartlomiej Cupial; Aneta Kaczynska; Przemyslaw Spurek; Jacek Tabor (CoRR, 2023)

Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. - Mikolaj Sacha; Bartosz Jura; Dawid Rymarczyk; Lukasz Struski; Jacek Tabor; Bartosz Zielinski 001 (AAAI, 2024)

Multiple instance learning for medical image classification based on instance importance. - Lukasz Struski; Szymon Janusz; Jacek Tabor; Michal Markiewicz; Arkadiusz Lewicki (Biomed. Signal Process. Control., 2024)

PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification. - Magdalena Tredowicz; Lukasz Struski; Marcin Mazur; Szymon Janusz; Arkadiusz Lewicki; Jacek Tabor (CoRR, 2024)

InfoDisent: Explainability of Image Classification Models by Information Disentanglement. - Lukasz Struski; Jacek Tabor (CoRR, 2024)

Efficient GPU implementation of randomized SVD and its applications. - Lukasz Struski; Pawel M. Morkisz; Przemyslaw Spurek; Samuel Rodriguez Bernabeu; Tomasz Trzcinski (Expert Syst. Appl., 2024)

Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models. - Lukasz Struski; Michal Sadowski; Tomasz Danel; Jacek Tabor; Igor T. Podolak (IEEE Trans. Neural Networks Learn. Syst., 2024)

Tight Bounds on Jensen's Gap: Novel Approach with Applications in Generative Modeling. - Marcin Mazur; Piotr Koscielniak; Lukasz Struski (CoRR, 2025)

SEMU: Singular Value Decomposition for Efficient Machine Unlearning. - Marcin Sendera; Lukasz Struski; Kamil Ksiazek; Kryspin Musiol; Jacek Tabor; Dawid Rymarczyk (CoRR, 2025)

LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection. - Lukasz Struski; Michal B. Bednarczyk; Igor T. Podolak; Jacek Tabor (CoRR, 2025)

EPIC: Explanation of Pretrained Image Classification Networks via Prototype. - Piotr Borycki; Magdalena Tredowicz; Szymon Janusz; Jacek Tabor; Przemyslaw Spurek; Arkadiusz Lewicki; Lukasz Struski (CoRR, 2025)

SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence. - Viktar Dubovik; Lukasz Struski; Jacek Tabor; Dawid Rymarczyk (CoRR, 2025)