| 2026 | ACIIDS | Towards Plausibility in Time Series Counterfactual Explanations. | Marcin Kostrzewa, Krzysztof Galus, Maciej Zieba |
| 2026 | ACIIDS | Reducing Estimation Uncertainty Using Normalizing Flows and Stratification. | Pawel Lorek, Rafal Nowak, Rafal Topolnicki, Tomasz Trzcinski, Maciej Zieba, Aleksandra Krystecka |
| 2026 | ACIIDS | A Parallel U-Net Concept for Image Recontextualization. | Aleksander Skorupa, Jakub Balicki, Konrad Karanowski, Tomasz Drzdz, Tomasz Halas, Hong Lyu, Oriol Caudevilla, Jakub M. Tomczak, Maciej Zieba |
| 2026 | ICCS | Metric Learning Approach to Mineral Mapping Using Multi-sensor Satellite Data. | Katarzyna Jablonska, Maciej Zieba |
| 2026 | ICCS | Mind the Gap: Quantifying the Domain Gap in Cross-Sensor Diffusion Super-Resolution. | Dawid Kopec, Katarzyna Jablonska, Wojciech Kozlowski, Maciej Zieba |
| 2026 | ICCS | Plausible Visual Counterfactual Explanations in Latent Space with Normalizing Flows. | Lukasz Lenkiewicz, Marcel Musialek, Oleksii Furman, Maciej Zieba |
| 2025 | ACIIDS | Direct Detection of Elongated Objects Geometry via a Centerline-Based Representation. | Przemyslaw Dolata, Maciej Zieba |
| 2025 | ACIIDS | Satellite Data Based One-Class Classifier Models with Augmentation for Efficient Mineral Exploration. | Katarzyna Jablonska, Maciej Zieba, Marcin Jakubowicz |
| 2025 | ACIIDS | Image Enhancement with Boosted Schrdinger Bridge. | Wojciech Kozlowski, Radoslaw Kuczbanski, Maciej Zieba |
| 2025 | CVPR | KeyFace: Expressive Audio-Driven Facial Animation for Long Sequences via KeyFrame Interpolation. | Antoni Bigata Casademunt, Michal Stypulkowski, Rodrigo Mira, Stella Bounareli, Konstantinos Vougioukas, Zoe Landgraf, Nikita Drobyshev, Maciej Zieba, Stavros Petridis, Maja Pantic |
| 2025 | DSAA | HyperNeRFGAN: Camera-Free 3D Scene Generation via Hypernetwork-Driven Neural Radiance Fields. | Adam Kania, Artur Kasymov, Jakub Kosciukiewicz, Artur Grak, Marcin Mazur, Maciej Zieba, Przemyslaw Spurek |
| 2025 | ECAI | Classifier-Free Guidance with Adaptive Scaling. | Dawid Malarz, Artur Kasymov, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek |
| 2025 | ICCS | SupResDiffGAN a New Approach for the Super-Resolution Task. | Dawid Kopec, Wojciech Kozlowski, Maciej Wizerkaniuk, Dawid Krutul, Jan Kocon, Maciej Zieba |
| 2025 | IJCNN | Neural Surface Priors for Editable Gaussian Splatting. | Jakub Szymkowiak, Weronika Jakubowska, Dawid Malarz, Weronika Smolak-Dyzewska, Maciej Zieba, Wojtek Palubicki, Przemyslaw Musialski, Przemyslaw Spurek |
| 2024 | ACIIDS | Self-supervised Adversarial Masking for 3D Point Cloud Representation Learning. | Michal Szachniewicz, Wojciech Kozlowski, Michal Stypulkowski, Maciej Zieba |
| 2024 | ACIIDS | RegFlow: Probabilistic Flow-Based Regression for Future Prediction. | Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek |
| 2024 | ECAI | Probabilistically Plausible Counterfactual Explanations with Normalizing Flows. | Patryk Wielopolski, Oleksii Furman, Jerzy Stefanowski, Maciej Zieba |
| 2024 | ICCS | Modeling 3D Surfaces with a Locally Conditioned Atlas. | Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania, Marcin Mazur |
| 2024 | ICCS | NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering. | Wojciech Zajac, Joanna Waczynska, Piotr Borycki, Jacek Tabor, Maciej Zieba, Przemyslaw Spurek |
| 2024 | IGARSS | A Comparative Analysis of Siamese Networks and Spectral Angle Mapper for Mineral Detection using Hyperspectral Imagery. | Katarzyna Jablonska, Maciej Zieba |
| 2024 | WACV | Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation. | Michal Stypulkowski, Konstantinos Vougioukas, Sen He, Maciej Zieba, Stavros Petridis, Maja Pantic |
| 2023 | ACIIDS | Flow Plugin Network for Conditional Generation. | Patryk Wielopolski, Michal Koperski, Maciej Zieba |
| 2023 | ACL | Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks. | Mateusz Baran, Joanna Baran, Mateusz Wjcik, Maciej Zieba, Adam Gonczarek |
| 2023 | ECAI | TreeFlow: Going Beyond Tree-Based Parametric Probabilistic Regression. | Patryk Wielopolski, Maciej Zieba |
| 2023 | ICDM | Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows. | Piotr Milkowski, Konrad Karanowski, Patryk Wielopolski, Jan Kocon, Przemyslaw Kazienko, Maciej Zieba |
| 2023 | MICCAI | CenterlinePointNet++: A New Point Cloud Based Architecture for Coronary Artery Pressure Drop and vFFR Estimation. | Patryk Rygiel, Pawel Pluszka, Maciej Zieba, Tomasz K. Konopczynski |
| 2023 | WACV | HyperShot: Few-Shot Learning by Kernel HyperNetworks. | Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek |
| 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 |
| 2020 | ACIIDS | Post-training Quantization Methods for Deep Learning Models. | Piotr Kluska, Maciej Zieba |
| 2020 | ACIIDS | Comparison of Aggregation Functions for 3D Point Clouds Classification. | Maciej Zamorski, Maciej Zieba, Jerzy Swiatek |
| 2020 | ACIIDS | Semi-supervised Representation Learning for 3D Point Clouds. | Adrian Zdobylak, Maciej Zieba |
| 2020 | ICAISC | Generative Modeling in Application to Point Cloud Completion. | Maciej Zamorski, Maciej Zieba, Jerzy Swiatek |
| 2020 | ICML | Hypernetwork approach to generating point clouds. | Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski |
| 2019 | ACIIDS | Semi-supervised Learning with Bidirectional GANs. | Maciej Zamorski, Maciej Zieba |
| 2019 | ICAISC | Generative Adversarial Networks: Recent Developments. | Maciej Zamorski, Adrian Zdobylak, Maciej Zieba, Jerzy Swiatek |
| 2017 | ICLR | Training Triplet Networks with GAN. | Maciej Zieba, Lei Wang |
| 2016 | ACIIDS | Self-paced Learning for Imbalanced Data. | Maciej Zieba, Jakub M. Tomczak, Jerzy Swiatek |
| 2015 | ACIIDS | RBM-SMOTE: Restricted Boltzmann Machines for Synthetic Minority Oversampling Technique. | Maciej Zieba, Jakub M. Tomczak, Adam Gonczarek |
| 2014 | ICSEng | Selecting right questions with Restricted Boltzmann Machines. | Maciej Zieba, Jakub M. Tomczak, Krzysztof Brzostowski |
| 2013 | HealthCom | Ensemble SVM for imbalanced data and missing values in postoperative risk management. | Maciej Zieba, Jerzy Swiatek |
| 2011 | ICSEng | Analysis of Human Arm Motions Recognition Algorithms for System to Visualize Virtual Arm. | Krzysztof Brzostowski, Maciej Zieba |