Robust Bayesian and Light Neural Networks for Voice Spoofing Detection. - Radoslaw Bialobrzeski; Michal Kosmider; Mateusz Matuszewski; Marcin Plata; Alexander Rakowski (INTERSPEECH, 2019)

Disentanglement and Local Directions of Variance. - Alexander Rakowski; Christoph Lippert (ECML/PKDD (3), 2021)

Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns. - Joydeep Munshi; Alexander Rakowski; Benjamin H. Savitzky; Steven E. Zeltmann; Jim Ciston; Matthew L. Henderson; Shreyas Cholia; Andrew M. Minor; Maria K. Y. Chan; Colin Ophus (CoRR, 2022)

DCID: Deep Canonical Information Decomposition. - Alexander Rakowski; Christoph Lippert (ECML/PKDD (2), 2023)

Heterogeneous Medical Data Integration with Multi-Source StyleGAN. - Wei-Cheng Lai; Matthias Kirchler; Hadya Yassin; Jana Fehr; Alexander Rakowski; Hampus Olsson; Ludger Starke; Jason Michael Millward; Sonia Waiczies; Christoph Lippert (MIDL, 2024)

Evaluating Age-Related Anatomical Consistency in Synthetic Brain MRI against Real-World Alzheimer's Disease Data. - Hadya Yassin; Jana Fehr; Wei-Cheng Lai; Alina Krichevsky; Alexander Rakowski; Christoph Lippert (MIDL, 2024)

Metadata-guided feature disentanglement for functional genomics. - Alexander Rakowski; Remo Monti; Viktoriia Huryn; Marta Lemanczyk; Uwe Ohler; Christoph Lippert (Bioinform., 2024)