扩散模型遇瓶颈？SE-UNet用奇等变框架解决真实世界逆问题中的物理约束难题
arXiv:2607.02628v1 Announce Type: cross Abstract: While diffusion models have revolutionized image synthesis, their application to real-world inverse …
贝叶斯神经网络与等变性结合，数据增强理论新突破，提升模型鲁棒性
arXiv:2606.26273v1 Announce Type: new Abstract: Symmetries are important for many deep learning tasks, ranging from applications in the sciences to me…
利用对称性隐私保护新范式，正交等变Transformer让大模型推理更安全
arXiv:2606.16461v1 Announce Type: new Abstract: Running large language models locally is often impractical, pushing inference on sensitive text to thi…
提出等变流匹配新框架，有效模拟对称破缺分岔问题，为物理模拟的机器学习方法注入新思路。
arXiv:2509.03340v4 Announce Type: replace-cross Abstract: Bifurcation phenomena in nonlinear dynamical systems often lead to multiple coexisting stabl…
速查最新AI论文，开放获取支持PDF下载，聚焦等变图灵机前沿研究
arXiv:2510.03511v3 Announce Type: replace-cross Abstract: While widespread, Transformers lack inductive biases for geometric symmetries common in scie…
一键阅读arXiv论文，支持ICML 2026最新研究成果，完美颜色等变拓扑覆盖解析
arXiv:2603.04256v3 Announce Type: replace Abstract: When the color distribution of input images changes at inference, the performance of conventional …
提出利用投影正则化实现近似等变性的新方法，为几何深度学习提供更灵活的理论框架
arXiv:2601.05028v2 Announce Type: replace Abstract: Equivariance is a powerful inductive bias in neural networks, improving generalisation and physica…
从算子代数出发，NOETHER框架系统化发现形变模式，驱动物理、ML与查询优化创新。
arXiv:2605.17390v1 Announce Type: cross Abstract: Context. Metamorphic Testing is recognised in IEEE/ISO software-testing standards and increasingly r…
基于代数先验实现近似等变网络，巧妙平衡对称嵌入与架构灵活性，理论有新意。
arXiv:2506.08244v2 Announce Type: replace Abstract: Equivariant neural networks incorporate symmetries through group actions, embedding them as an ind…
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…
用物理对称性破缺理论解释深层网络信息传播，提出Goldstone类似模式实现长距离相干传递，前沿交叉理论。
arXiv:2605.14685v1 Announce Type: cross Abstract: In physical systems, whenever a continuous symmetry is spontaneously broken, the system possesses ex…
商空间扩散模型：用商空间思想巧妙处理系统对称性，实现更高效、保对称性的分子3D结构生成。
arXiv:2604.21809v2 Announce Type: replace-cross Abstract: Diffusion-based generative models have reformed generative AI, and also enabled new capabili…