Generative Fractional Diffusion Models. - Gabriel Nobis; Marco Aversa; Maximilian Springenberg; Michael Detzel; Stefano Ermon; Shinichi Nakajima; Roderick Murray-Smith; Sebastian Lapuschkin; Christoph Knochenhauer; Luis Oala; Wojciech Samek (CoRR, 2023)

From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology. - Maximilian Springenberg; Annika Frommholz; Markus Wenzel 002; Eva Weicken; Jackie Ma; Nils Strodthoff (Medical Image Anal., 2023)

Generative Fractional Diffusion Models. - Gabriel Nobis; Maximilian Springenberg; Marco Aversa; Michael Detzel; Rembert Daems; Roderick Murray-Smith; Shinichi Nakajima; Sebastian Lapuschkin; Stefano Ermon; Tolga Birdal; Manfred Opper; Christoph Knochenhauer; et al. (NeurIPS, 2024)

DiffScale: Continuous Downscaling and Bias Correction of Subseasonal Wind Speed Forecasts using Diffusion Models. - Maximilian Springenberg; Noelia Otero; Yuxin Xue; Jackie Ma (CoRR, 2025)