The ELBO of Variational Autoencoders Converges to a Sum of Entropies. - Simon Damm; Dennis Forster; Dmytro Velychko; Zhenwen Dai; Asja Fischer; Jörg Lücke (AISTATS, 2023)

Towards the Detection of Diffusion Model Deepfakes (Dataset). - Jonas Ricker; Simon Damm; Thorsten Holz; Asja Fischer (Zenodo, 2023)

Learning Sparse Codes with Entropy-Based ELBOs. - Dmytro Velychko; Simon Damm; Asja Fischer; Jörg Lücke (AISTATS, 2024)

Towards the Detection of Diffusion Model Deepfakes. - Jonas Ricker; Simon Damm; Thorsten Holz; Asja Fischer (VISIGRAPP (4): VISAPP, 2024)

Towards the Detection of Diffusion Model Deepfakes (Additional Datasets). - Jonas Ricker; Simon Damm; Thorsten Holz; Asja Fischer (Zenodo, 2024)

ELBO, regularized maximum likelihood, and their common one-sample approximation for training stochastic neural networks. - Sina Däubener; Simon Damm; Asja Fischer (UAI, 2025)

AnomalyDINO: Boosting Patch-based Few-Shot Anomaly Detection with DINOv2. - Simon Damm; Mike Laszkiewicz; Johannes Lederer; Asja Fischer (WACV, 2025)

One Bit to Rule Them All - Imperfect Randomness Harms Lattice Signatures. - Simon Damm; Nicolai Kraus; Alexander May 001; Julian Nowakowski; Jonas Thietke (IACR Cryptol. ePrint Arch., 2025)

Generative Models with ELBOs Converging to Entropy Sums. - Jan Warnken; Dmytro Velychko; Simon Damm; Asja Fischer; Jörg Lücke (CoRR, 2025)