Marek Smieja - RankMe

106 papers A* 3A 4B 5Misc 1Journal 78Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive contrastive hierarchical clustering with nodes visualization. Artif. Intell. Rev. Mateusz Pach, Przemyslaw Rola, Michal Znalezniak, Patryk Kaszuba, Marcin Przewiezlikowski, Jacek Tabor, Marek Smieja
2026	J	`jnl`	CounterFlowNet: From Minimal Changes to Meaningful Counterfactual Explanations. CoRR Oleksii Furman, Patryk Marszalek, Jan Maslowski, Piotr Gainski, Maciej Zieba, Marek Smieja
2026	J	`jnl`	HyConEx: Hypernetwork classifier with counterfactual explanations for tabular data. Neurocomputing Patryk Marszalek, Kamil Ksiazek, Oleksii Furman, Ulvi Movsum-zada, Przemyslaw Spurek, Marek Smieja
2026	J	`jnl`	Optimising network efficiency in an epidemic scenario. Soc. Netw. Anal. Min. Magdalena Proszewska, Michal Bujak, Rafal Kucharski, Jacek Tabor, Marek Smieja
2026	J	`jnl`	TACTIC for Navigating the Unknown: Tabular Anomaly deteCTion via In-Context inference. CoRR Patryk Marszalek, Tomasz Kusmierczyk, Marek Smieja
2025	J	`jnl`	DiCoFlex: Model-agnostic diverse counterfactuals with flexible control. CoRR Oleksii Furman, Ulvi Movsum-zada, Patryk Marszalek, Maciej Zieba, Marek Smieja
2025	J	`jnl`	Diverse and feasible retrosynthesis using GFlowNets. Inf. Sci. Piotr Gainski, Michal Koziarski, Krzysztof Maziarz, Marwin H. S. Segler, Jacek Tabor, Marek Smieja
2025	J	`jnl`	GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid Relaxation. CoRR Witold Wydmanski, Marek Smieja
2025	J	`jnl`	HyConEx: Hypernetwork classifier with counterfactual explanations. CoRR Patryk Marszalek, Ulvi Movsum-zada, Oleksii Furman, Kamil Ksiazek, Przemyslaw Spurek, Marek Smieja
2025	A	`conf`	VisTabNet: Adapting Vision Transformers for Tabular Data. SDM Witold Wydmanski, Ulvi Movsum-zada, Jacek Tabor, Marek Smieja
2025	J	`jnl`	VisTabNet: Adapting Vision Transformers for Tabular Data. CoRR Witold Wydmanski, Ulvi Movsum-zada, Jacek Tabor, Marek Smieja
2025	J	`jnl`	ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data. CoRR Patryk Marszalek, Tomasz Kusmierczyk, Witold Wydmanski, Jacek Tabor, Marek Smieja
2024	—	`conf`	A Deep Cut Into Split Federated Self-Supervised Learning. ECML/PKDD (2) Marcin Przewiezlikowski, Marcin Osial, Bartosz Zielinski, Marek Smieja
2024	J	`jnl`	A deep cut into Split Federated Self-supervised Learning. CoRR Marcin Przewiezlikowski, Marcin Osial, Bartosz Zielinski, Marek Smieja
2024	J	`jnl`	ADMET-PrInt: Evaluation of ADMET Properties: Prediction and Interpretation. J. Chem. Inf. Model. Ewelina Jamrozik, Marek Smieja, Sabina Podlewska
2024	J	`jnl`	Augmentation-aware self-supervised learning with conditioned projector. Knowl. Based Syst. Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja
2024	J	`jnl`	Beyond [cls]: Exploring the true potential of Masked Image Modeling representations. CoRR Marcin Przewiezlikowski, Randall Balestriero, Wojciech Jasinski, Marek Smieja, Bartosz Zielinski
2024	A	`conf`	Face Identity-Aware Disentanglement in StyleGAN. WACV Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja
2024	J	`jnl`	Multi-Label Conditional Generation From Pre-Trained Models. IEEE Trans. Pattern Anal. Mach. Intell. Magdalena Proszewska, Maciej Wolczyk, Maciej Zieba, Patryk Wielopolski, Lukasz Maziarka, Marek Smieja
2024	—	`conf`	RegFlow: Probabilistic Flow-Based Regression for Future Prediction. ACIIDS (Companion 2) Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
2024	J	`jnl`	RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets. CoRR Piotr Gainski, Michal Koziarski, Krzysztof Maziarz, Marwin H. S. Segler, Jacek Tabor, Marek Smieja
2024	—	`conf`	StyleAutoEncoder for Manipulating Image Attributes Using Pre-trained StyleGAN. PAKDD (2) Andrzej Bedychaj, Jacek Tabor, Marek Smieja
2024	J	`jnl`	StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN. CoRR Andrzej Bedychaj, Jacek Tabor, Marek Smieja
2023	J	`jnl`	Augmentation-aware Self-supervised Learning with Guided Projector. CoRR Marcin Przewiezlikowski, Mateusz Pyla, Bartosz Zielinski, Bartlomiej Twardowski, Jacek Tabor, Marek Smieja
2023	—	`conf`	ChiENN: Embracing Molecular Chirality with Graph Neural Networks. ECML/PKDD (3) Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja
2023	J	`jnl`	ChiENN: Embracing Molecular Chirality with Graph Neural Networks. CoRR Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja
2023	—	`conf`	Contrastive Hierarchical Clustering. ECML/PKDD (1) Michal Znalezniak, Przemyslaw Rola, Patryk Kaszuba, Jacek Tabor, Marek Smieja
2023	J	`jnl`	Contrastive Hierarchical Clustering. CoRR Michal Znalezniak, Przemyslaw Rola, Patryk Kaszuba, Jacek Tabor, Marek Smieja
2023	J	`jnl`	Face Identity-Aware Disentanglement in StyleGAN. CoRR Adrian Suwala, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja
2023	—	`conf`	Hebbian Continual Representation Learning. HICSS Pawel Morawiecki, Andrii Krutsylo, Maciej Wolczyk, Marek Smieja
2023	B	`conf`	HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets. DSAA Witold Wydmanski, Oleksii Bulenok, Marek Smieja
2023	J	`jnl`	HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets. CoRR Witold Wydmanski, Oleksii Bulenok, Marek Smieja
2023	A	`conf`	SONGs: Self-Organizing Neural Graphs. WACV Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
2023	J	`jnl`	Zero time waste in pre-trained early exit neural networks. Neural Networks Bartosz Wójcik, Marcin Przewiezlikowski, Filip Szatkowski, Maciej Wolczyk, Klaudia Balazy, Bartlomiej Krzepkowski, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
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`	Hebbian Continual Representation Learning. CoRR Pawel Morawiecki, Andrii Krutsylo, Maciej Wolczyk, Marek Smieja
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	A*	`conf`	PluGeN: Multi-Label Conditional Generation from Pre-trained Models. AAAI Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja
2022	J	`jnl`	SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier. CoRR Bartosz Wójcik, Jacek Grela, Marek Smieja, Krzysztof Misztal, Jacek Tabor
2022	J	`jnl`	SLOVA: Uncertainty estimation using single label one-vs-all classifier. Appl. Soft Comput. Bartosz Wójcik, Jacek Grela, Marek Smieja, Krzysztof Misztal, Jacek Tabor
2022	Misc	`conf`	Semi-supervised clustering via information-theoretic markov chain aggregation. SAC Sophie Steger, Bernhard C. Geiger, Marek Smieja
2021	B	`conf`	Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. ICTAI Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor
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`	MisConv: Convolutional Neural Networks for Missing Data. CoRR Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor
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	J	`jnl`	PluGeN: Multi-Label Conditional Generation From Pre-Trained Models. CoRR Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja
2021	J	`jnl`	SONG: Self-Organizing Neural Graphs. CoRR Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski
2021	J	`jnl`	SeGMA: Semi-Supervised Gaussian Mixture Autoencoder. IEEE Trans. Neural Networks Learn. Syst. Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger
2021	J	`jnl`	Semi-Supervised Clustering via Markov Chain Aggregation. CoRR Sophie Steger, Bernhard C. Geiger, Marek Smieja
2021	A*	`conf`	Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. NeurIPS Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
2021	J	`jnl`	Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. CoRR Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
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	J	`jnl`	Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. CoRR Bartosz Wójcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor
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	B	`conf`	Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. ESANN Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor
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`	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`	RegFlow: Probabilistic Flow-based Regression for Future Prediction. CoRR Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
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`	Biologically-Inspired Spatial Neural Networks. CoRR Maciej Wolczyk, Jacek Tabor, Marek Smieja, Szymon Maszke
2019	J	`jnl`	Efficient mixture model for clustering of sparse high dimensional binary data. Data Min. Knowl. Discov. Marek Smieja, Krzysztof Hajto, Jacek Tabor
2019	J	`jnl`	Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. CoRR Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor
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	—	`conf`	Hypernetwork Functional Image Representation. ICANN (Workshop) Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Jakub Nowak, Marek Smieja
2019	J	`jnl`	Multi-task hypernetworks. CoRR Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Marek Smieja, Jakub Nowak
2019	J	`jnl`	Projected memory clustering. Pattern Recognit. Lett. Lukasz Struski, Przemyslaw Spurek, Jacek Tabor, Marek Smieja
2019	J	`jnl`	SVM with a neutral class. Pattern Anal. Appl. Marek Smieja, Jacek Tabor, Przemyslaw Spurek
2019	J	`jnl`	SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder. CoRR Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger
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	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
2018	J	`jnl`	Semi-supervised discriminative clustering with graph regularization. Knowl. Based Syst. Marek Smieja, Oleksandr Myronov, Jacek Tabor
2017	J	`jnl`	Constrained clustering with a complex cluster structure. Adv. Data Anal. Classif. Marek Smieja, Magdalena Wiercioch
2017	J	`jnl`	Efficient mixture model for clustering of sparse high dimensional binary data. CoRR Marek Smieja, Krzysztof Hajto, Jacek Tabor
2017	J	`jnl`	Pointed subspace approach to incomplete data. CoRR Lukasz Struski, Marek Smieja, Jacek Tabor
2017	J	`jnl`	R Package CEC. Neurocomputing Przemyslaw Spurek, Konrad Kamieniecki, Jacek Tabor, Krzysztof Misztal, Marek Smieja
2017	J	`jnl`	Semi-supervised cross-entropy clustering with information bottleneck constraint. CoRR Marek Smieja, Bernhard C. Geiger
2017	J	`jnl`	Semi-supervised cross-entropy clustering with information bottleneck constraint. Inf. Sci. Marek Smieja, Bernhard C. Geiger
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
2017	J	`jnl`	Spherical Wards clustering and generalized Voronoi diagrams. CoRR Marek Smieja, Jacek Tabor
2016	B	`conf`	Fast Entropy Clustering of sparse high dimensional binary data. IJCNN Marek Smieja, Szymon Nakoneczny, Jacek Tabor
2016	J	`jnl`	Incomplete data representation for SVM classification. CoRR Lukasz Struski, Marek Smieja, Jacek Tabor
2015	J	`jnl`	Entropy Approximation in Lossy Source Coding Problem. Entropy Marek Smieja, Jacek Tabor
2015	J	`jnl`	Introduction to Cross-Entropy Clustering The R Package CEC. CoRR Jacek Tabor, Przemyslaw Spurek, Konrad Kamieniecki, Marek Smieja, Krzysztof Misztal
2015	B	`conf`	Spherical wards clustering and generalized Voronoi diagrams. DSAA Marek Smieja, Jacek Tabor
2015	J	`jnl`	Weighted approach to general entropy function. IMA J. Math. Control. Inf. Marek Smieja
2014	—	`conf`	Subspaces Clustering Approach to Lossy Image Compression. CISIM Przemyslaw Spurek, Marek Smieja, Krzysztof Misztal
2013	—	`conf`	Image Segmentation with Use of Cross-Entropy Clustering. CORES Marek Smieja, Jacek Tabor
2013	J	`jnl`	Weighted Approach to General Entropy Function CoRR Marek Smieja
2012	J	`jnl`	Entropy of the Mixture of Sources and Entropy Dimension. IEEE Trans. Inf. Theory Marek Smieja, Jacek Tabor
2012	J	`jnl`	Partition Reduction for Lossy Data Compression Problem CoRR Marek Smieja, Jacek Tabor
2012	J	`jnl`	Weighted Approach to Rényi Entropy CoRR Marek Smieja, Jacek Tabor
2011	J	`jnl`	Entropy of the Mixture of Sources and Entropy Dimension CoRR Marek Smieja, Jacek Tabor