首个针对生态系统通量外推的基准FLUXtrapolation，测试模型在分布偏移下的泛化能力。
arXiv:2605.19812v1 Announce Type: new Abstract: We introduce FLUXtrapolation, a benchmark for extrapolating ecosystem fluxes under progressively harde…
COOPO算法提出循环离线-在线策略优化，巧妙解决分布偏移与灾难性遗忘难题，为强化学习混合范式带来新突破。
arXiv:2605.18675v1 Announce Type: new Abstract: Offline reinforcement learning struggles with distributional shift and constrained performance due to …
提出归一化等变性的结构先验，可应用于任意骨干网络的图像去噪，有效提升分布偏移健壮性。
arXiv:2605.08193v2 Announce Type: replace-cross Abstract: Normalization Equivariance (NE) is a structural prior that improves robustness to distributi…