Marek Smieja
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
14
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Beyond [cls]: Exploring the True Potential of Masked Image Modeling Representations. | Marcin Przewiezlikowski, Randall Balestriero, Wojciech Jasinski, Marek Smieja, Bartosz Zielinski |
| 2025 | SDM | VisTabNet: Adapting Vision Transformers for Tabular Data. | Witold Wydmanski, Ulvi Movsum-zada, Jacek Tabor, Marek Smieja |
| 2024 | ACIIDS | RegFlow: Probabilistic Flow-Based Regression for Future Prediction. | Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek |
| 2024 | PAKDD | StyleAutoEncoder for Manipulating Image Attributes Using Pre-trained StyleGAN. | Andrzej Bedychaj, Jacek Tabor, Marek Smieja |
| 2024 | WACV | Face Identity-Aware Disentanglement in StyleGAN. | Adrian Suwala, Bartosz Wjcik, Magdalena Proszewska, Jacek Tabor, Przemyslaw Spurek, Marek Smieja |
| 2023 | DSAA | HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets. | Witold Wydmanski, Oleksii Bulenok, Marek Smieja |
| 2023 | ICCS | r-softmax: Generalized Softmax with Controllable Sparsity Rate. | Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor |
| 2023 | WACV | SONGs: Self-Organizing Neural Graphs. | Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski |
| 2022 | AAAI | PluGeN: Multi-Label Conditional Generation from Pre-trained Models. | Maciej Wolczyk, Magdalena Proszewska, Lukasz Maziarka, Maciej Zieba, Patryk Wielopolski, Rafal Kurczab, Marek Smieja |
| 2022 | SAC | Semi-supervised clustering via information-theoretic markov chain aggregation. | Sophie Steger, Bernhard C. Geiger, Marek Smieja |
| 2022 | WACV | MisConv: Convolutional Neural Networks for Missing Data. | Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor |
| 2021 | ICTAI | Adversarial Examples Detection and Analysis with Layer-wise Autoencoders. | Bartosz Wjcik, Pawel Morawiecki, Marek Smieja, Tomasz Krzyzek, Przemyslaw Spurek, Jacek Tabor |
| 2020 | ESANN | Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. | Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor |
| 2020 | ICONIP | Processing of Incomplete Images by (Graph) Convolutional Neural Networks. | Tomasz Danel, Marek Smieja, Lukasz Struski, Przemyslaw Spurek, Lukasz Maziarka |
| 2020 | ICONIP | Spatial Graph Convolutional Networks. | Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka |
| 2020 | ICONIP | Estimating Conditional Density of Missing Values Using Deep Gaussian Mixture Model. | Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski |
| 2020 | ICONIP | Iterative Imputation of Missing Data Using Auto-Encoder Dynamics. | Marek Smieja, Maciej Kolomycki, Lukasz Struski, Mateusz Juda, Mrio A. T. Figueiredo |
| 2019 | ICANN | Hypernetwork Functional Image Representation. | Sylwester Klocek, Lukasz Maziarka, Maciej Wolczyk, Jacek Tabor, Jakub Nowak, Marek Smieja |
| 2019 | ICONIP | Set Aggregation Network as a Trainable Pooling Layer. | Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek |
| 2016 | IJCNN | Fast Entropy Clustering of sparse high dimensional binary data. | Marek Smieja, Szymon Nakoneczny, Jacek Tabor |
| 2015 | DSAA | Spherical wards clustering and generalized Voronoi diagrams. | Marek Smieja, Jacek Tabor |