Plugen: Multi-label conditional generation from pre-trained models M Wołczyk, M Proszewska, Ł Maziarka, M Zieba, P Wielopolski, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8647-8656, 2022 | 7 | 2022 |
Modeling uncertainty in personalized emotion prediction with normalizing flows P Miłkowski, K Karanowski, P Wielopolski, J Kocoń, P Kazienko, M Zięba 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 757-766, 2023 | 6 | 2023 |
TreeFlow: Going Beyond Tree-Based Parametric Probabilistic Regression P Wielopolski, M Zięba ECAI 2023, 2631-2638, 2023 | 5* | 2023 |
Flow plugin network for conditional generation P Wielopolski, M Koperski, M Zięba Asian Conference on Intelligent Information and Database Systems, 221-232, 2023 | 2 | 2023 |
NodeFlow: Towards End-to-End Flexible Probabilistic Regression on Tabular Data P Wielopolski, O Furman, M Zięba Entropy 26 (7), 593, 2024 | | 2024 |
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows P Wielopolski, O Furman, J Stefanowski, M Zięba arXiv preprint arXiv:2405.17640, 2024 | | 2024 |
Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels P Wielopolski, O Furman, J Stefanowski, M Zięba arXiv preprint arXiv:2405.17642, 2024 | | 2024 |
Multi-label conditional generation from pre-trained models M Proszewska, M Wołczyk, M Zieba, P Wielopolski, Ł Maziarka, M Śmieja IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | | 2024 |