Summary of Unifying Generation and Prediction on Graphs with Latent Graph Diffusion, by Cai Zhou et al.
Unifying Generation and Prediction on Graphs with Latent Graph Diffusionby Cai Zhou, Xiyuan Wang, Muhan…
Summary of Diffstitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching, by Guanghe Li et al.
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitchingby Guanghe Li, Yixiang Shan, Zhengbang Zhu,…
Summary of Your Diffusion Model Is Secretly a Certifiably Robust Classifier, by Huanran Chen et al.
Your Diffusion Model is Secretly a Certifiably Robust Classifierby Huanran Chen, Yinpeng Dong, Shitong Shao,…
Summary of Improving Diffusion Models For Inverse Problems Using Optimal Posterior Covariance, by Xinyu Peng et al.
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covarianceby Xinyu Peng, Ziyang Zheng, Wenrui…
Summary of On the Exploitation Of Dct-traces in the Generative-ai Domain, by Orazio Pontorno (1) et al.
On the Exploitation of DCT-Traces in the Generative-AI Domainby Orazio Pontorno, Luca Guarnera, Sebastiano BattiatoFirst…
Summary of Risk-sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples, by Yangming Li et al.
Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samplesby Yangming Li, Max Ruiz Luyten, Mihaela…
Summary of Analyzing Neural Network-based Generative Diffusion Models Through Convex Optimization, by Fangzhao Zhang et al.
Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimizationby Fangzhao Zhang, Mert PilanciFirst submitted to…
Summary of Emergence Of Heavy Tails in Homogenized Stochastic Gradient Descent, by Zhe Jiao et al.
Emergence of heavy tails in homogenized stochastic gradient descentby Zhe Jiao, Martin Keller-ResselFirst submitted to…
Summary of On the Multi-modal Vulnerability Of Diffusion Models, by Dingcheng Yang et al.
On the Multi-modal Vulnerability of Diffusion Modelsby Dingcheng Yang, Yang Bai, Xiaojun Jia, Yang Liu,…
Summary of Animatelcm: Computation-efficient Personalized Style Video Generation Without Personalized Video Data, by Fu-yun Wang et al.
AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Databy Fu-Yun Wang, Zhaoyang Huang, Weikang…