| Text-Free Non-Parallel Many-To-Many Voice Conversion Using Normalising Flow T Merritt, A Ezzerg, P Biliński, M Proszewska, K Pokora, R Barra-Chicote, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 22 | 2022 |
| Face Identity-Aware Disentanglement in StyleGAN A Suwała, B Wójcik, M Proszewska, J Tabor, P Spurek, M Śmieja Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 10 | 2024 |
| GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversion M Proszewska, G Beringer, D Sįez-Trigueros, T Merritt, A Ezzerg, ... Interspeech 2022, 2022 | 10 | 2022 |
| 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 |
| HyperCube: Implicit Field Representations of Voxelized 3D Models M Proszewska, M Mazur, T Trzciński, P Spurek arXiv preprint arXiv:2110.05770, 2021 | 6 | 2021 |
| Remap, warp and attend: Non-parallel many-to-many accent conversion with normalizing flows A Ezzerg, T Merritt, K Yanagisawa, P Bilinski, M Proszewska, K Pokora, ... 2022 IEEE Spoken Language Technology Workshop (SLT), 984-990, 2023 | 4 | 2023 |
| 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 | 1 | 2024 |
| Optimising Network Efficiency in the Epidemic Scenario M Proszewska, M Bujak, R Kucharski, J Tabor, M Smieja Available at SSRN 4976648, 2024 | 1 | 2024 |
| AIMing for Explainability in GNNs M Proszewska, N Siddharth | | 2025 |
| HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract) M Proszewska, M Mazur, T Trzciński, P Spurek Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23623 …, 2024 | | 2024 |
| Graph Kernel Convolutions for Interpretable Classification M Proszewska, N Siddharth DMLR Workshop at ICLR 2024, 2024 | | 2024 |
| Molecular optimization and conditional generation using normalizing flows M Proszewska | | 2022 |
| Continual Learning with Task Merge for Easier Task Prediction M Proszewska | | 2021 |
| Interpretacja konwolucyjnych sieci neuronowych metodami atrybucji i wizualizacji cech. M Proszewska | | 2020 |
| Rozkład względem wartości singularnych i aproksymacja tensorów M Proszewska | | 2019 |
Thomas MerrittSpotifyVerified email at spotify.com
