Synthetic observations from deep generative models and binary omics data with limited sample size. - Jens Nußberger; Frederic Boesel; Stefan Lenz; Harald Binder; Moritz Hess (Briefings Bioinform., 2021)

Multivariate Anomaly Detection with Domain Clustering. - Frederic Boesel; Livio Schläpfer; Haris Pozidis; Mitch Gusat (SoCC, 2023)

Improving Image Editing Models with Generative Data Refinement. - Frederic Boesel; Robin Rombach (Tiny Papers @ ICLR, 2024)

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. - Patrick Esser; Sumith Kulal; Andreas Blattmann; Rahim Entezari; Jonas Müller; Harry Saini; Yam Levi; Dominik Lorenz; Axel Sauer; Frederic Boesel; Dustin Podell; Tim Dockhorn; et al. (ICML, 2024)

Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation. - Axel Sauer; Frederic Boesel; Tim Dockhorn; Andreas Blattmann; Patrick Esser; Robin Rombach (SIGGRAPH Asia, 2024)

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. - Patrick Esser; Sumith Kulal; Andreas Blattmann; Rahim Entezari; Jonas Müller; Harry Saini; Yam Levi; Dominik Lorenz; Axel Sauer; Frederic Boesel; Dustin Podell; Tim Dockhorn; et al. (CoRR, 2024)

FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space. - Black Forest Labs; Stephen Batifol; Andreas Blattmann; Frederic Boesel; Saksham Consul; Cyril Diagne; Tim Dockhorn; Jack English; Zion English; Patrick Esser; Sumith Kulal; Kyle Lacey; et al. (CoRR, 2025)