Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modelingby Vivek Oommen, Aniruddha…
Enhancing Privacy in ControlNet and Stable Diffusion via Split Learningby Dixi YaoFirst submitted to arxiv…
Exploring User-level Gradient Inversion with a Diffusion Priorby Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki…
CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusionby Joshua Kazdan, Hao Sun, Jiaqi…
Human Motion Synthesis_ A Diffusion Approach for Motion Stitching and In-Betweeningby Michael Adewole, Oluwaseyi Giwa,…
CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty Quantificationby Jimeng Shi, Bowen Jin,…
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learningby Jiahao Lai, Jiaqi Li, Jian Xu,…
Enhancing Preference-based Linear Bandits via Human Response Timeby Shen Li, Yuyang Zhang, Zhaolin Ren, Claire…
D4: Text-guided diffusion model-based domain adaptive data augmentation for vineyard shoot detectionby Kentaro Hirahara, Chikahito…
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architectureby Qianlong Xiang, Miao Zhang, Yuzhang…