Summary of Enhancing Decision Transformer with Diffusion-based Trajectory Branch Generation, by Zhihong Liu et al.
Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generationby Zhihong Liu, Long Qian, Zeyang Liu, Lipeng…
Summary of Stealing Training Graphs From Graph Neural Networks, by Minhua Lin et al.
Stealing Training Graphs from Graph Neural Networksby Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia,…
Summary of Generating Compositional Scenes Via Text-to-image Rgba Instance Generation, by Alessandro Fontanella et al.
Generating Compositional Scenes via Text-to-image RGBA Instance Generationby Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng…
Summary of Constrained Diffusion with Trust Sampling, by William Huang et al.
Constrained Diffusion with Trust Samplingby William Huang, Yifeng Jiang, Tom Van Wouwe, C. Karen LiuFirst…
Summary of Diffusion-based Layer-wise Semantic Reconstruction For Unsupervised Out-of-distribution Detection, by Ying Yang et al.
Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detectionby Ying Yang, De Cheng, Chaowei Fang, Yubiao…
Summary of Stable Continual Reinforcement Learning Via Diffusion-based Trajectory Replay, by Feng Chen et al.
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replayby Feng Chen, Fuguang Han, Cong Guan, Lei…
Summary of Multivariate Data Augmentation For Predictive Maintenance Using Diffusion, by Andrew Thompson et al.
Multivariate Data Augmentation for Predictive Maintenance using Diffusionby Andrew Thompson, Alexander Sommers, Alicia Russell-Gilbert, Logan…
Summary of Red: Residual Estimation Diffusion For Low-dose Pet Sinogram Reconstruction, by Xingyu Ai et al.
RED: Residual Estimation Diffusion for Low-Dose PET Sinogram Reconstructionby Xingyu Ai, Bin Huang, Fang Chen,…
Summary of Sg-i2v: Self-guided Trajectory Control in Image-to-video Generation, by Koichi Namekata et al.
SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generationby Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant,…
Summary of Quantum Diffusion Models For Few-shot Learning, by Ruhan Wang et al.
Quantum Diffusion Models for Few-Shot Learningby Ruhan Wang, Ye Wang, Jing Liu, Toshiaki Koike-AkinoFirst submitted…