SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecastingby Yue Jiang,…
Adding Conditional Control to Diffusion Models with Reinforcement Learningby Yulai Zhao, Masatoshi Uehara, Gabriele Scalia,…
COT Flow: Learning Optimal-Transport Image Sampling and Editing by Contrastive Pairsby Xinrui Zu, Qian TaoFirst…
Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Predictionby Junwei You, Haotian…
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Modelsby Alireza Ganjdanesh, Reza…
Mixture-of-Subspaces in Low-Rank Adaptationby Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai WongFirst submitted to arxiv…
Diffusion Generative Modelling for Divide-and-Conquer MCMCby C. Trojan, P. Fearnhead, C. NemethFirst submitted to arxiv…
Learning Iterative Reasoning through Energy Diffusionby Yilun Du, Jiayuan Mao, Joshua B. TenenbaumFirst submitted to…
Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matchingby Zijing Ou, Mingtian Zhang, Andi Zhang,…
Graph Neural Reaction Diffusion Modelsby Moshe Eliasof, Eldad Haber, Eran TreisterFirst submitted to arxiv on:…