A Discussion on Solving Partial Differential Equations using Neural Networks. - Tim Dockhorn (CoRR, 2019)

Density Deconvolution with Normalizing Flows. - Tim Dockhorn; James A. Ritchie; Yaoliang Yu; Iain Murray 001 (CoRR, 2020)

Demystifying and Generalizing BinaryConnect. - Tim Dockhorn; Yaoliang Yu; Eyyüb Sari; Mahdi Zolnouri; Vahid Partovi Nia (NeurIPS, 2021)

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion. - Tim Dockhorn; Arash Vahdat; Karsten Kreis (ICLR, 2022)

GENIE: Higher-Order Denoising Diffusion Solvers. - Tim Dockhorn; Arash Vahdat; Karsten Kreis (NeurIPS, 2022)

Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models. - Andreas Blattmann; Robin Rombach; Huan Ling; Tim Dockhorn; Seung Wook Kim 001; Sanja Fidler; Karsten Kreis (CVPR, 2023)

Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets. - Andreas Blattmann; Tim Dockhorn; Sumith Kulal; Daniel Mendelevitch; Maciej Kilian; Dominik Lorenz; Yam Levi; Zion English; Vikram Voleti; Adam Letts; Varun Jampani; Robin Rombach (CoRR, 2023)

Differentially Private Diffusion Models. - Tim Dockhorn; Tianshi Cao; Arash Vahdat; Karsten Kreis (Trans. Mach. Learn. Res., 2023)

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis. - Dustin Podell; Zion English; Kyle Lacey; Andreas Blattmann; Tim Dockhorn; Jonas Müller; Joe Penna; Robin Rombach (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)