RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active…
Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learningby Simret Araya Gebreegziabher, Kuangshi…
Exchangeable Sequence Models Quantify Uncertainty Over Latent Conceptsby Naimeng Ye, Hongseok NamkoongFirst submitted to arxiv…
RCDM: Enabling Robustness for Conditional Diffusion Modelby Weifeng Xu, Xiang Zhu, Xiaoyong LiFirst submitted to…
Symmetric Graph Contrastive Learning against Noisy Views for Recommendationby Chu Zhao, Enneng Yang, Yuliang Liang,…
A Sharp Convergence Theory for The Probability Flow ODEs of Diffusion Modelsby Gen Li, Yuting…