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Lukasz Struski
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2020 – today
- 2024
- [j13]Lukasz Struski
, Szymon Janusz
Multiple instance learning for medical image classification based on instance importance. Biomed. Signal Process. Control. 91: 105874 (2024) - [j12]Lukasz Struski
Efficient GPU implementation of randomized SVD and its applications. Expert Syst. Appl. 248: 123462 (2024) - [j11]Lukasz Struski
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12068-12082 (2024) - [c18]Mikolaj Sacha, Bartosz Jura
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. AAAI 2024: 21563-21573 - [i33]Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski:
ProPML: Probability Partial Multi-label Learning. CoRR abs/2403.07603 (2024) - [i32]Magdalena Tredowicz, Lukasz Struski, Marcin Mazur, Szymon Janusz, Arkadiusz Lewicki, Jacek Tabor:
PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification. CoRR abs/2406.11443 (2024) - [i31]Lukasz Struski, Jacek Tabor:
InfoDisent: Explainability of Image Classification Models by Information Disentanglement. CoRR abs/2409.10329 (2024) - 2023
- [c17]Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor:
Bounding Evidence and Estimating Log-Likelihood in VAE. AISTATS 2023: 5036-5051 - [c16]Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski:
ProPML: Probability Partial Multi-label Learning. DSAA 2023: 1-8 - [c15]Lukasz Struski
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. ECAI 2023: 2210-2217 - [c14]Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor:
r-softmax: Generalized Softmax with Controllable Sparsity Rate. ICCS (2) 2023: 137-145 - [c13]Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. WACV 2023: 1481-1492 - [c12]Lukasz Struski, Tomasz Danel
SONGs: Self-Organizing Neural Graphs. WACV 2023: 3837-3846 - [i30]Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. CoRR abs/2301.12276 (2023) - [i29]Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor:
r-softmax: Generalized Softmax with Controllable Sparsity Rate. CoRR abs/2304.05243 (2023) - [i28]Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski:
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. CoRR abs/2306.10535 (2023) - [i27]Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. CoRR abs/2308.08162 (2023) - [i26]Lukasz Struski, Tomasz Urbanczyk, Krzysztof Bucki, Bartlomiej Cupial, Aneta Kaczynska, Przemyslaw Spurek, Jacek Tabor:
MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy. CoRR abs/2311.03884 (2023) - 2022
- [j10]Lukasz Struski, Szymon Knop
LocoGAN - Locally convolutional GAN. Comput. Vis. Image Underst. 221: 103462 (2022) - [j9]Lukasz Maziarka
OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8508-8519 (2022) - [c11]Dawid Rymarczyk
Interpretable Image Classification with Differentiable Prototypes Assignment. ECCV (12) 2022: 351-368 - [c10]Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja
HyperPocket: Generative Point Cloud Completion. IROS 2022: 6848-6853 - [c9]Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor:
MisConv: Convolutional Neural Networks for Missing Data. WACV 2022: 2917-2926 - [i25]Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor:
Bounding Evidence and Estimating Log-Likelihood in VAE. CoRR abs/2206.09453 (2022) - [i24]Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProPaLL: Probabilistic Partial Label Learning. CoRR abs/2208.09931 (2022) - 2021
- [j8]Dawid Warszycki, Lukasz Struski, Marek Smieja, Rafal Kafel, Rafal Kurczab
Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design. J. Chem. Inf. Model. 61(10): 5054-5065 (2021) - [c8]Marcin Sendera
Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data. ICONIP (5) 2021: 196-204 - [c7]Dawid Rymarczyk
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. KDD 2021: 1420-1430 - [i23]Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski:
HyperPocket: Generative Point Cloud Completion. CoRR abs/2102.05973 (2021) - [i22]Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski:
SONG: Self-Organizing Neural Graphs. CoRR abs/2107.13214 (2021) - [i21]Marcin Sendera, Marek Smieja, Lukasz Maziarka, Lukasz Struski, Przemyslaw Spurek, Jacek Tabor:
Flow-based SVDD for anomaly detection. CoRR abs/2108.04907 (2021) - [i20]Dawid Warszycki, Lukasz Struski, Marek Smieja, Rafal Kafel, Rafal Kurczab:
Pharmacoprint - a combination of pharmacophore fingerprint and artificial intelligence as a tool for computer-aided drug design. CoRR abs/2110.01339 (2021) - [i19]Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski:
Efficient GPU implementation of randomized SVD and its applications. CoRR abs/2110.03423 (2021) - [i18]Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor:
MisConv: Convolutional Neural Networks for Missing Data. CoRR abs/2110.14010 (2021) - [i17]Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski:
Interpretable Image Classification with Differentiable Prototypes Assignment. CoRR abs/2112.02902 (2021) - 2020
- [j7]Lukasz Struski, Marek Smieja, Jacek Tabor:
Pointed Subspace Approach to Incomplete Data. J. Classif. 37(1): 42-57 (2020) - [j6]Marek Smieja
A classification-based approach to semi-supervised clustering with pairwise constraints. Neural Networks 127: 193-203 (2020) - [c6]Marcin Przewiezlikowski
Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model. ICONIP (3) 2020: 220-231 - [c5]Marek Smieja
Iterative Imputation of Missing Data Using Auto-Encoder Dynamics. ICONIP (3) 2020: 258-269 - [c4]Tomasz Danel
Processing of Incomplete Images by (Graph) Convolutional Neural Networks. ICONIP (2) 2020: 512-523 - [c3]Tomasz Danel
Spatial Graph Convolutional Networks. ICONIP (5) 2020: 668-675 - [i16]Marek Smieja, Lukasz Struski, Mário A. T. Figueiredo:
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints. CoRR abs/2001.06720 (2020) - [i15]Lukasz Struski, Szymon Knop, Jacek Tabor, Wiktor Daniec, Przemyslaw Spurek:
LocoGAN - Locally Convolutional GAN. CoRR abs/2002.07897 (2020) - [i14]Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski:
Estimating conditional density of missing values using deep Gaussian mixture model. CoRR abs/2010.02183 (2020) - [i13]Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek:
Flow-based anomaly detection. CoRR abs/2010.03002 (2020) - [i12]Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka:
Processing of incomplete images by (graph) convolutional neural networks. CoRR abs/2010.13914 (2020) - [i11]Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery. CoRR abs/2011.14340 (2020)
2010 – 2019
- 2019
- [j5]Marek Smieja, Lukasz Struski, Jacek Tabor, Mateusz Marzec:
Generalized RBF kernel for incomplete data. Knowl. Based Syst. 173: 150-162 (2019) - [j4]Lukasz Struski, Przemyslaw Spurek, Jacek Tabor, Marek Smieja:
Projected memory clustering. Pattern Recognit. Lett. 123: 9-15 (2019) - [c2]Lukasz Maziarka, Marek Smieja, Aleksandra Nowak
Set Aggregation Network as a Trainable Pooling Layer. ICONIP (2) 2019: 419-431 - [i10]Lukasz Struski, Jacek Tabor, Igor T. Podolak, Aleksandra Nowak
Interpolation in generative models. CoRR abs/1904.03445 (2019) - [i9]Andrzej Bedychaj, Przemyslaw Spurek, Lukasz Struski, Jacek Tabor:
Independent Component Analysis based on multiple data-weighting. CoRR abs/1906.00028 (2019) - [i8]Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik
Geometric Graph Convolutional Neural Networks. CoRR abs/1909.05310 (2019) - 2018
- [j3]Lukasz Struski, Jacek Tabor
Lossy compression approach to subspace clustering. Inf. Sci. 435: 161-183 (2018) - [j2]Przemyslaw Spurek
Fast independent component analysis algorithm with a simple closed-form solution. Knowl. Based Syst. 161: 26-34 (2018) - [c1]Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek:
Processing of missing data by neural networks. NeurIPS 2018: 2724-2734 - [i7]Bartosz Zielinski, Lukasz Struski, Marek Smieja, Jacek Tabor:
Cascade context encoder for improved inpainting. CoRR abs/1803.04033 (2018) - [i6]Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek:
Processing of missing data by neural networks. CoRR abs/1805.07405 (2018) - [i5]Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek:
Deep processing of structured data. CoRR abs/1810.01868 (2018) - 2017
- [j1]Marek Smieja, Lukasz Struski, Jacek Tabor
Semi-supervised model-based clustering with controlled clusters leakage. Expert Syst. Appl. 85: 146-157 (2017) - [i4]Lukasz Struski, Marek Smieja, Jacek Tabor:
Pointed subspace approach to incomplete data. CoRR abs/1705.00840 (2017) - [i3]Marek Smieja, Lukasz Struski, Jacek Tabor:
Semi-supervised model-based clustering with controlled clusters leakage. CoRR abs/1705.01877 (2017) - 2016
- [i2]Lukasz Struski, Marek Smieja, Jacek Tabor:
Incomplete data representation for SVM classification. CoRR abs/1612.01480 (2016) - 2012
- [i1]Lukasz Struski, Jacek Tabor:
Strict localization of eigenvectors and eigenvalues. CoRR abs/1210.8072 (2012)
Coauthor Index
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last updated on 2024-10-14 23:32 CEST by the dblp team
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