FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generationby Timur Sattarov,…
Demystifying Variational Diffusion Modelsby Fabio De Sousa Ribeiro, Ben GlockerFirst submitted to arxiv on: 11…
Faster Sampling without Isoperimetry via Diffusion-based Monte Carloby Xunpeng Huang, Difan Zou, Hanze Dong, Yian…
Object-Centric Diffusion for Efficient Video Editingby Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki…
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Modelsby Xuewen Liu, Zhikai Li, Junrui…
Design a Metric Robust to Complicated High Dimensional Noise for Efficient Manifold Denoisingby Hau-Tieng WuFirst…
Physics-informed Neural Networks for Encoding Dynamics in Real Physical Systemsby Hamza AlsharifFirst submitted to arxiv…
A Physics-guided Generative AI Toolkit for Geophysical Monitoringby Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo…
Fair Sampling in Diffusion Models through Switching Mechanismby Yujin Choi, Jinseong Park, Hoki Kim, Jaewook…
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriorsby Top Piriyakulkij, Yingheng Wang, Volodymyr…