Selected books
- Jacek Tabor, Marek Śmieja, Łukasz Struski, Przemysław Spurek, Maciej Wołczyk, „Głębokie uczenie. Wprowadzenie”, Helion, 2022
Most significant publications
- Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Zięba Maciej, Patryk Wielopolski, Rafał Kurczab, Marek Śmieja, PluGeN: Multi-Label Conditional Generation From Pre-Trained Models, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) 36/8 (2022), 8647-8656
- Klaudia Bałazy, Igor Podolak, Marek Śmieja, Jacek Tabor, Tomasz Trzciński, Maciej Wołczyk, Bartosz Wójcik, Zero Time Waste: Recycling Predictions in Early Exit Neural Networks, Advances in Neural Information Processing Systems [NeurIPS](MAIN) 34 (2021), 1-13
- Marek Śmieja, Łukasz Struski, Mario A.T. Figueiredo, A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints, Neural Networks 127 (2020), 193-203
- Sylwester Klocek, Łukasz Maziarka, Jakub Nowak, Marek Śmieja, Jacek Tabor, Maciej Wołczyk, Hypernetwork Functional Image Representation, Artificial Neural Networks and Machine Learning – Icann 2019: Workshop and Special Sessions (2019), 496-510
- Marek Śmieja, Łukasz Struski, Jacek Tabor, Bartosz Zieliński, Przemysław Spurek, Processing of missing data by neural networks, Advances in Neural Information Processing Systems 31 (2018), 2719-2729
Recent publications
- Bartosz Zieliński, Marcin Przewięźlikowski, Marcin Osial, Marek Śmieja, A deep cut into Split Federated Self-Supervised Learning, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD](MAIN), (2024),
- Ewelina Jamrozik, Sabina Podlewska, Marek Śmieja, ADMET-PrInt: Evaluation of ADMET Properties: Prediction and Interpretation, Journal of Chemical Information and Modeling 64 (2024), 1425–1432
- Magdalena Proszewska, Maciej Wołczyk, Zięba Maciej, Patryk Wielopolski, Łukasz Maziarka, Marek Śmieja, Multi-Label Conditional Generation from Pre-trained Models, IEEE Transactions on Pattern Analysis and Machine Intelligence (2024), 14
- Adrian Suwała, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemysław Spurek, Marek Śmieja, Face Identity-Aware Disentanglement in StyleGAN, IEEE Workshop on Applications of Computer Vision [WACV], (2024), 10
- Witold Wydmański, Oleksii Bulenok, Marek Śmieja, HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets, IEEE International Conference on Data Science and Advanced Analytics [DSAA], (2023), 9
Interests
-deep learning
-missing data
-generative models
-semi-supervised learning
-unsupervised methods
-cheminformatics
Major awards and honours
- Stypendium Ministra Edukacji i Nauki dla wybitnych młodych naukowców, 2021, Ministerstwo Edukacji i Nauki
![avatar for Marek Śmieja](http://apacz.matinf.uj.edu.pl/images/photos/313.png?1721107093)
Marek Śmieja
academic degree/title Doctor of Science positionresearch and faculty staff member group, university professor
unit
- Division of Machine Learning
- Institute of Computer Science and Computational Mathematics
- Group of Machine Learning Research (GMUM)
marek.smieja@uj.edu.pl
www