Marek Smieja

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 78

Top Topics

Incomplete Data

Constrained Clustering

Gaussian Mixture

Top Venues

Knowl. Based Syst.

J. Chem. Inf. Model.

Publications

Marcin Przewiezlikowski, Marcin Osial, Bartosz Zielinski, Marek Smieja
A deep cut into Split Federated Self-supervised Learning. CoRR (2024)
Piotr Gainski, Michal Koziarski, Krzysztof Maziarz, Marwin H. S. Segler, Jacek Tabor, Marek Smieja
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets. CoRR (2024)
Magdalena Proszewska, Maciej Wolczyk, Maciej Zieba, Patryk Wielopolski, Lukasz Maziarka, Marek Smieja
Multi-Label Conditional Generation From Pre-Trained Models. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja
Face Identity-Aware Disentanglement in StyleGAN. WACV (2024)
Andrzej Bedychaj, Jacek Tabor, Marek Smieja
StyleAutoEncoder for Manipulating Image Attributes Using Pre-trained StyleGAN. PAKDD (2) (2024)
Ewelina Jamrozik, Marek Smieja, Sabina Podlewska
ADMET-PrInt: Evaluation of ADMET Properties: Prediction and Interpretation. J. Chem. Inf. Model. 64 (5) (2024)
Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor
r-softmax: Generalized Softmax with Controllable Sparsity Rate. CoRR (2023)
Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja
Face Identity-Aware Disentanglement in StyleGAN. CoRR (2023)
Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor
r-softmax: Generalized Softmax with Controllable Sparsity Rate. ICCS (2) (2023)
Bartosz Wójcik, Marcin Przewiezlikowski, Filip Szatkowski, Maciej Wolczyk, Klaudia Balazy, Bartlomiej Krzepkowski, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
Zero time waste in pre-trained early exit neural networks. Neural Networks 168 (2023)
Pawel Morawiecki, Andrii Krutsylo, Maciej Wolczyk, Marek Smieja
Hebbian Continual Representation Learning. HICSS (2023)
Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja
ChiENN: Embracing Molecular Chirality with Graph Neural Networks. CoRR (2023)
Witold Wydmanski, Oleksii Bulenok, Marek Smieja
HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets. DSAA (2023)
Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja
ChiENN: Embracing Molecular Chirality with Graph Neural Networks. ECML/PKDD (3) (2023)
Michal Znalezniak, Przemyslaw Rola, Patryk Kaszuba, Jacek Tabor, Marek Smieja
Contrastive Hierarchical Clustering. CoRR (2023)
Michal Znalezniak, Przemyslaw Rola, Patryk Kaszuba, Jacek Tabor, Marek Smieja
Contrastive Hierarchical Clustering. ECML/PKDD (1) (2023)
Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja
Augmentation-aware Self-supervised Learning with Guided Projector. CoRR (2023)
Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
SONGs: Self-Organizing Neural Graphs. WACV (2023)
Witold Wydmanski, Oleksii Bulenok, Marek Smieja
HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets. CoRR (2023)
Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor
MisConv: Convolutional Neural Networks for Missing Data. WACV (2022)
Bartosz Wójcik, Jacek Grela, Marek Smieja, Krzysztof Misztal, Jacek Tabor
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier. CoRR (2022)
Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja
PluGeN: Multi-Label Conditional Generation from Pre-trained Models. AAAI (2022)
Bartosz Wójcik, Jacek Grela, Marek Smieja, Krzysztof Misztal, Jacek Tabor
SLOVA: Uncertainty estimation using single label one-vs-all classifier. Appl. Soft Comput. 126 (2022)
Sophie Steger, Bernhard C. Geiger, Marek Smieja
Semi-supervised clustering via information-theoretic markov chain aggregation. SAC (2022)
Pawel Morawiecki, Andrii Krutsylo, Maciej Wolczyk, Marek Smieja
Hebbian Continual Representation Learning. CoRR (2022)
Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Marcin Sendera, Marek Smieja, Lukasz Maziarka, Lukasz Struski, Przemyslaw Spurek, Jacek Tabor
Flow-based SVDD for anomaly detection. CoRR (2021)
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 (2021)
Sophie Steger, Bernhard C. Geiger, Marek Smieja
Semi-Supervised Clustering via Markov Chain Aggregation. CoRR (2021)
Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. ICTAI (2021)
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) (2021)
Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
SONG: Self-Organizing Neural Graphs. CoRR (2021)
Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger
SeGMA: Semi-Supervised Gaussian Mixture Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 32 (9) (2021)
Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. CoRR (2021)
Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor
MisConv: Convolutional Neural Networks for Missing Data. CoRR (2021)
Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models. CoRR (2021)
Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. NeurIPS (2021)
Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka
Processing of Incomplete Images by (Graph) Convolutional Neural Networks. ICONIP (2) (2020)
Marek Smieja, Maciej Kolomycki, Lukasz Struski, Mateusz Juda, Mário A. T. Figueiredo
Iterative Imputation of Missing Data Using Auto-Encoder Dynamics. ICONIP (3) (2020)
Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski
Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model. ICONIP (3) (2020)
Lukasz Struski, Marek Smieja, Jacek Tabor
Pointed Subspace Approach to Incomplete Data. J. Classif. 37 (1) (2020)
Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. CoRR (2020)
Marek Smieja, Lukasz Struski, Mário A. T. Figueiredo
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints. CoRR (2020)
Marek Smieja, Lukasz Struski, Mário A. T. Figueiredo
A classification-based approach to semi-supervised clustering with pairwise constraints. Neural Networks 127 (2020)
Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek
Flow-based anomaly detection. CoRR (2020)
Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
RegFlow: Probabilistic Flow-based Regression for Future Prediction. CoRR (2020)
Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka
Spatial Graph Convolutional Networks. ICONIP (5) (2020)
Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski
Estimating conditional density of missing values using deep Gaussian mixture model. CoRR (2020)
Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka
Processing of incomplete images by (graph) convolutional neural networks. CoRR (2020)
Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. ESANN (2020)
Lukasz Struski, Przemyslaw Spurek, Jacek Tabor, Marek Smieja
Projected memory clustering. Pattern Recognit. Lett. 123 (2019)
Marek Smieja, Krzysztof Hajto, Jacek Tabor
Efficient mixture model for clustering of sparse high dimensional binary data. Data Min. Knowl. Discov. 33 (6) (2019)
Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka
Geometric Graph Convolutional Neural Networks. CoRR (2019)
Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Marek Smieja, Jakub Nowak
Multi-task hypernetworks. CoRR (2019)
Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. CoRR (2019)
Marek Smieja, Lukasz Struski, Jacek Tabor, Mateusz Marzec
Generalized RBF kernel for incomplete data. Knowl. Based Syst. 173 (2019)
Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
Set Aggregation Network as a Trainable Pooling Layer. ICONIP (2) (2019)
Marek Smieja, Jacek Tabor, Przemyslaw Spurek
SVM with a neutral class. Pattern Anal. Appl. 22 (2) (2019)
Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger
SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder. CoRR (2019)
Maciej Wolczyk, Jacek Tabor, Marek Smieja, Szymon Maszke
Biologically-Inspired Spatial Neural Networks. CoRR (2019)
Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Jakub Nowak, Marek Smieja
Hypernetwork Functional Image Representation. ICANN (Workshop) (2019)
Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek
Processing of missing data by neural networks. NeurIPS (2018)
Marek Smieja, Oleksandr Myronov, Jacek Tabor
Semi-supervised discriminative clustering with graph regularization. Knowl. Based Syst. 151 (2018)
Bartosz Zielinski, Lukasz Struski, Marek Smieja, Jacek Tabor
Cascade context encoder for improved inpainting. CoRR (2018)
Przemyslaw Spurek, Jacek Tabor, Lukasz Struski, Marek Smieja
Fast independent component analysis algorithm with a simple closed-form solution. Knowl. Based Syst. 161 (2018)
Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
Deep processing of structured data. CoRR (2018)
Marek Smieja, Lukasz Struski, Jacek Tabor, Bartosz Zielinski, Przemyslaw Spurek
Processing of missing data by neural networks. CoRR (2018)
Marek Smieja, Magdalena Wiercioch
Constrained clustering with a complex cluster structure. Adv. Data Anal. Classif. 11 (3) (2017)
Marek Smieja, Jacek Tabor
Spherical Wards clustering and generalized Voronoi diagrams. CoRR (2017)
Marek Smieja, Bernhard C. Geiger
Semi-supervised cross-entropy clustering with information bottleneck constraint. Inf. Sci. 421 (2017)
Marek Smieja, Bernhard C. Geiger
Semi-supervised cross-entropy clustering with information bottleneck constraint. CoRR (2017)
Przemyslaw Spurek, Konrad Kamieniecki, Jacek Tabor, Krzysztof Misztal, Marek Smieja
R Package CEC. Neurocomputing 237 (2017)
Marek Smieja, Lukasz Struski, Jacek Tabor
Semi-supervised model-based clustering with controlled clusters leakage. CoRR (2017)
Lukasz Struski, Marek Smieja, Jacek Tabor
Pointed subspace approach to incomplete data. CoRR (2017)
Marek Smieja, Krzysztof Hajto, Jacek Tabor
Efficient mixture model for clustering of sparse high dimensional binary data. CoRR (2017)
Marek Smieja, Lukasz Struski, Jacek Tabor
Semi-supervised model-based clustering with controlled clusters leakage. Expert Syst. Appl. 85 (2017)
Lukasz Struski, Marek Smieja, Jacek Tabor
Incomplete data representation for SVM classification. CoRR (2016)
Marek Smieja, Szymon Nakoneczny, Jacek Tabor
Fast Entropy Clustering of sparse high dimensional binary data. IJCNN (2016)
Jacek Tabor, Przemyslaw Spurek, Konrad Kamieniecki, Marek Smieja, Krzysztof Misztal
Introduction to Cross-Entropy Clustering The R Package CEC. CoRR (2015)
Marek Smieja
Weighted approach to general entropy function. IMA J. Math. Control. Inf. 32 (2) (2015)
Marek Smieja, Jacek Tabor
Spherical wards clustering and generalized Voronoi diagrams. DSAA (2015)
Marek Smieja, Jacek Tabor
Entropy Approximation in Lossy Source Coding Problem. Entropy 17 (5) (2015)
Przemyslaw Spurek, Marek Smieja, Krzysztof Misztal
Subspaces Clustering Approach to Lossy Image Compression. CISIM (2014)
Marek Smieja
Weighted Approach to General Entropy Function CoRR (2013)
Marek Smieja, Jacek Tabor
Image Segmentation with Use of Cross-Entropy Clustering. CORES (2013)
Marek Smieja, Jacek Tabor
Partition Reduction for Lossy Data Compression Problem CoRR (2012)
Marek Smieja, Jacek Tabor
Entropy of the Mixture of Sources and Entropy Dimension. IEEE Trans. Inf. Theory 58 (5) (2012)
Marek Smieja, Jacek Tabor
Weighted Approach to Rényi Entropy CoRR (2012)
Marek Smieja, Jacek Tabor
Entropy of the Mixture of Sources and Entropy Dimension CoRR (2011)