HyperCube: Implicit Field Representations of Voxelized 3D Models. - Magdalena Proszewska; Marcin Mazur; Tomasz Trzcinski; Przemyslaw Spurek (CoRR, 2021)

PluGeN: Multi-Label Conditional Generation from Pre-trained Models. - Maciej Wolczyk; Magdalena Proszewska; Lukasz Maziarka; Maciej Zieba; Patryk Wielopolski; Rafal Kurczab; Marek Smieja (AAAI, 2022)

Text-Free Non-Parallel Many-To-Many Voice Conversion Using Normalising Flow. - Thomas Merritt; Abdelhamid Ezzerg; Piotr Bilinski; Magdalena Proszewska; Kamil Pokora; Roberto Barra-Chicote; Daniel Korzekwa (ICASSP, 2022)

GlowVC: Mel-spectrogram space disentangling model for language-independent text-free voice conversion. - Magdalena Proszewska; Grzegorz Beringer; Daniel Sáez-Trigueros; Thomas Merritt; Abdelhamid Ezzerg; Roberto Barra-Chicote (INTERSPEECH, 2022)

Remap, Warp and Attend: Non-Parallel Many-to-Many Accent Conversion with Normalizing Flows. - Abdelhamid Ezzerg; Thomas Merritt; Kayoko Yanagisawa; Piotr Bilinski; Magdalena Proszewska; Kamil Pokora; Renard Korzeniowski; Roberto Barra-Chicote; Daniel Korzekwa (SLT, 2022)

Text-free non-parallel many-to-many voice conversion using normalising flows. - Thomas Merritt; Abdelhamid Ezzerg; Piotr Bilinski; Magdalena Proszewska; Kamil Pokora; Roberto Barra-Chicote; Daniel Korzekwa (CoRR, 2022)

HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract). - Magdalena Proszewska; Marcin Mazur; Tomasz Trzcinski; Przemyslaw Spurek (AAAI, 2024)

Face Identity-Aware Disentanglement in StyleGAN. - Adrian Suwala; Bartosz Wójcik; Magdalena Proszewska; Jacek Tabor; Przemyslaw Spurek; Marek Smieja (WACV, 2024)

Multi-Label Conditional Generation From Pre-Trained Models. - Magdalena Proszewska; Maciej Wolczyk; Maciej Zieba; Patryk Wielopolski; Lukasz Maziarka; Marek Smieja (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data. - Magdalena Proszewska; Tomasz Danel; Dawid Rymarczyk (CoRR, 2025)

On Designing Diffusion Autoencoders for Efficient Generation and Representation Learning. - Magdalena Proszewska; Nikolay Malkin; N. Siddharth 001 (CoRR, 2025)