Lukasz Struski

75 papers A* 6A 8B 1Journal 52Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Class Incremental Learning and Auxiliary Unlabelled Data: The Importance of Neutral Examples. Mach. Learn. Igor Sieradzki, Lukasz Struski, Igor Tomasz Podolak, Romuald Aleksander Janik
2026	A*	`conf`	EPIC: Explanation of Pretrained Image Classification Networks via Prototypes. AAAI Piotr Borycki, Magdalena Tredowicz, Szymon Janusz, Jacek Tabor, Przemyslaw Spurek, Arkadiusz Lewicki, Lukasz Struski
2025	J	`jnl`	EPIC: Explanation of Pretrained Image Classification Networks via Prototype. CoRR Piotr Borycki, Magdalena Tredowicz, Szymon Janusz, Jacek Tabor, Przemyslaw Spurek, Arkadiusz Lewicki, Lukasz Struski
2025	A*	`conf`	LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection. ICML Lukasz Struski, Michal B. Bednarczyk, Igor T. Podolak, Jacek Tabor
2025	J	`jnl`	LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection. CoRR Lukasz Struski, Michal B. Bednarczyk, Igor T. Podolak, Jacek Tabor
2025	A	`conf`	PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification. ECAI Magdalena Tredowicz, Marcin Mazur, Szymon Janusz, Arkadiusz Lewicki, Jacek Tabor, Lukasz Struski
2025	A*	`conf`	SEMU: Singular Value Decomposition for Efficient Machine Unlearning. ICML Marcin Sendera, Lukasz Struski, Kamil Ksiazek, Kryspin Musiol, Jacek Tabor, Dawid Damian Rymarczyk
2025	J	`jnl`	SEMU: Singular Value Decomposition for Efficient Machine Unlearning. CoRR Marcin Sendera, Lukasz Struski, Kamil Ksiazek, Kryspin Musiol, Jacek Tabor, Dawid Rymarczyk
2025	J	`jnl`	SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence. CoRR Viktar Dubovik, Lukasz Struski, Jacek Tabor, Dawid Rymarczyk
2025	A	`conf`	Tight Bounds for Jensen's Gap with Applications to Variational Inference. CIKM Marcin Mazur, Tadeusz Dziarmaga, Piotr Koscielniak, Lukasz Struski
2025	J	`jnl`	Tight Bounds on Jensen's Gap: Novel Approach with Applications in Generative Modeling. CoRR Marcin Mazur, Piotr Koscielniak, Lukasz Struski
2024	J	`jnl`	Efficient GPU implementation of randomized SVD and its applications. Expert Syst. Appl. Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
2024	J	`jnl`	Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models. IEEE Trans. Neural Networks Learn. Syst. Lukasz Struski, Michal Sadowski, Tomasz Danel, Jacek Tabor, Igor T. Podolak
2024	J	`jnl`	InfoDisent: Explainability of Image Classification Models by Information Disentanglement. CoRR Lukasz Struski, Jacek Tabor
2024	A*	`conf`	Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. AAAI Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2024	J	`jnl`	Multiple instance learning for medical image classification based on instance importance. Biomed. Signal Process. Control. Lukasz Struski, Szymon Janusz, Jacek Tabor, Michal Markiewicz, Arkadiusz Lewicki
2024	J	`jnl`	PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification. CoRR Magdalena Tredowicz, Lukasz Struski, Marcin Mazur, Szymon Janusz, Arkadiusz Lewicki, Jacek Tabor
2024	J	`jnl`	ProPML: Probability Partial Multi-label Learning. CoRR Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski
2023	A	`conf`	Bounding Evidence and Estimating Log-Likelihood in VAE. AISTATS Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor
2023	J	`jnl`	Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. CoRR Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2023	J	`jnl`	MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy. CoRR Lukasz Struski, Tomasz Urbanczyk, Krzysztof Bucki, Bartlomiej Cupial, Aneta Kaczynska, Przemyslaw Spurek, Jacek Tabor
2023	A	`conf`	ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. ECAI Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski
2023	J	`jnl`	ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. CoRR Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski
2023	B	`conf`	ProPML: Probability Partial Multi-label Learning. DSAA Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski
2023	A	`conf`	ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. WACV Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2023	J	`jnl`	ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. CoRR Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2023	A	`conf`	SONGs: Self-Organizing Neural Graphs. WACV Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
2023	—	`conf`	r-softmax: Generalized Softmax with Controllable Sparsity Rate. ICCS (2) Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor
2023	J	`jnl`	r-softmax: Generalized Softmax with Controllable Sparsity Rate. CoRR Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor
2022	J	`jnl`	Bounding Evidence and Estimating Log-Likelihood in VAE. CoRR Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor
2022	A	`conf`	HyperPocket: Generative Point Cloud Completion. IROS Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski
2022	—	`conf`	Interpretable Image Classification with Differentiable Prototypes Assignment. ECCV (12) Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
2022	J	`jnl`	LocoGAN - Locally convolutional GAN. Comput. Vis. Image Underst. Lukasz Struski, Szymon Knop, Przemyslaw Spurek, Wiktor Daniec, Jacek Tabor
2022	A	`conf`	MisConv: Convolutional Neural Networks for Missing Data. WACV Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor
2022	J	`jnl`	OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region. IEEE Trans. Pattern Anal. Mach. Intell. Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
2022	J	`jnl`	ProPaLL: Probabilistic Partial Label Learning. CoRR Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2021	J	`jnl`	Efficient GPU implementation of randomized SVD and its applications. CoRR Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
2021	J	`jnl`	Flow-based SVDD for anomaly detection. CoRR Marcin Sendera, Marek Smieja, Lukasz Maziarka, Lukasz Struski, Przemyslaw Spurek, Jacek Tabor
2021	J	`jnl`	HyperPocket: Generative Point Cloud Completion. CoRR Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski
2021	J	`jnl`	Interpretable Image Classification with Differentiable Prototypes Assignment. CoRR Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski
2021	J	`jnl`	MisConv: Convolutional Neural Networks for Missing Data. CoRR Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor
2021	—	`conf`	Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data. ICONIP (5) Marcin Sendera, Lukasz Struski, Przemyslaw Spurek
2021	J	`jnl`	Pharmacoprint - a combination of pharmacophore fingerprint and artificial intelligence as a tool for computer-aided drug design. CoRR Dawid Warszycki, Lukasz Struski, Marek Smieja, Rafal Kafel, Rafal Kurczab
2021	J	`jnl`	Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design. J. Chem. Inf. Model. Dawid Warszycki, Lukasz Struski, Marek Smieja, Rafal Kafel, Rafal Kurczab
2021	A*	`conf`	ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. KDD Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2021	J	`jnl`	SONG: Self-Organizing Neural Graphs. CoRR Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
2020	J	`jnl`	A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints. CoRR Marek Smieja, Lukasz Struski, Mário A. T. Figueiredo
2020	J	`jnl`	A classification-based approach to semi-supervised clustering with pairwise constraints. Neural Networks Marek Smieja, Lukasz Struski, Mário A. T. Figueiredo
2020	—	`conf`	Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model. ICONIP (3) Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski
2020	J	`jnl`	Estimating conditional density of missing values using deep Gaussian mixture model. CoRR Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski
2020	J	`jnl`	Flow-based anomaly detection. CoRR Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
2020	—	`conf`	Iterative Imputation of Missing Data Using Auto-Encoder Dynamics. ICONIP (3) Marek Smieja, Maciej Kolomycki, Lukasz Struski, Mateusz Juda, Mário A. T. Figueiredo
2020	J	`jnl`	LocoGAN - Locally Convolutional GAN. CoRR Lukasz Struski, Szymon Knop, Jacek Tabor, Wiktor Daniec, Przemyslaw Spurek
2020	J	`jnl`	Pointed Subspace Approach to Incomplete Data. J. Classif. Lukasz Struski, Marek Smieja, Jacek Tabor
2020	—	`conf`	Processing of Incomplete Images by (Graph) Convolutional Neural Networks. ICONIP (2) Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka
2020	J	`jnl`	Processing of incomplete images by (graph) convolutional neural networks. CoRR Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka
2020	J	`jnl`	ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery. CoRR Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski
2020	—	`conf`	Spatial Graph Convolutional Networks. ICONIP (5) Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka
2019	J	`jnl`	Generalized RBF kernel for incomplete data. Knowl. Based Syst. Marek Smieja, Lukasz Struski, Jacek Tabor, Mateusz Marzec
2019	J	`jnl`	Geometric Graph Convolutional Neural Networks. CoRR Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka
2019	J	`jnl`	Independent Component Analysis based on multiple data-weighting. CoRR Andrzej Bedychaj, Przemyslaw Spurek, Lukasz Struski, Jacek Tabor
2019	J	`jnl`	Interpolation in generative models. CoRR Lukasz Struski, Jacek Tabor, Igor T. Podolak, Aleksandra Nowak
2019	J	`jnl`	Projected memory clustering. Pattern Recognit. Lett. Lukasz Struski, Przemyslaw Spurek, Jacek Tabor, Marek Smieja
2019	—	`conf`	Set Aggregation Network as a Trainable Pooling Layer. ICONIP (2) Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
2018	J	`jnl`	Cascade context encoder for improved inpainting. CoRR Bartosz Zielinski, Lukasz Struski, Marek Smieja, Jacek Tabor
2018	J	`jnl`	Deep processing of structured data. CoRR Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
2018	J	`jnl`	Fast independent component analysis algorithm with a simple closed-form solution. Knowl. Based Syst. Przemyslaw Spurek, Jacek Tabor, Lukasz Struski, Marek Smieja
2018	J	`jnl`	Lossy compression approach to subspace clustering. Inf. Sci. Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
2018	A*	`conf`	Processing of missing data by neural networks. NeurIPS Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek
2018	J	`jnl`	Processing of missing data by neural networks. CoRR Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek
2017	J	`jnl`	Pointed subspace approach to incomplete data. CoRR Lukasz Struski, Marek Smieja, Jacek Tabor
2017	J	`jnl`	Semi-supervised model-based clustering with controlled clusters leakage. CoRR Marek Smieja, Lukasz Struski, Jacek Tabor
2017	J	`jnl`	Semi-supervised model-based clustering with controlled clusters leakage. Expert Syst. Appl. Marek Smieja, Lukasz Struski, Jacek Tabor
2016	J	`jnl`	Incomplete data representation for SVM classification. CoRR Lukasz Struski, Marek Smieja, Jacek Tabor
2012	J	`jnl`	Strict localization of eigenvectors and eigenvalues CoRR Lukasz Struski, Jacek Tabor