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General Path-Law Jump-Diftation:马可斯-Signature RKHS中的序列MMD-Gradient流和通俗化边界
Generative Path-Law Jump-Diffusion: Sequential MMD-Gradient Flows and Generalisation Bounds in Marcu...
👁 90 📚 13
带有弹性测试-时间训练的快空间内存
Fast Spatial Memory with Elastic Test-Time Training
👁 39 📚 23
为多式稀有活动模拟进行重要取样
Niching Importance Sampling for Multi-modal Rare-event Simulation
👁 38 📚 28
关于语言识别和生成隐私的价格
On the Price of Privacy for Language Identification and Generation
👁 33 📚 13
Churn流的地貌特征和无监督地修正了小地平线上吴流-地平线平面图
Topological Characterization of Churn Flow and Unsupervised Correction to the Wu Flow-Regime Map in ...
👁 204 📚 6
行动图像:通过多视图视频生成进行端到端政策学习
Action Images: End-to-End Policy Learning via Multiview Video Generation
👁 47 📚 15
纸圈:一个开源多剂研究发现和分析框架
Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework
👁 188 📚 18
附有统计保证的连续审计抽样
Sequential Audit Sampling with Statistical Guarantees
👁 98 📚 19
现场测试-时间培训
In-Place Test-Time Training
👁 104 📚 18
大规模经验比较Meta-Learners和Causal森林在营销提升模型中的不同处理效果估计
A Large-Scale Empirical Comparison of Meta-Learners and Causal Forests for Heterogeneous Treatment E...
👁 84 📚 2
在图形模型下学习 $\ mathsf{ AC}^0 $
Learning $\mathsf{AC}^0$ Under Graphical Models
👁 94 📚 2
用信号时空逻辑进行强化学习
Stratifying Reinforcement Learning with Signal Temporal Logic
👁 163 📚 3
瓦纳斯特:通过合成 Triplet 监制与人类图像动画的虚拟尝试
Vanast: Virtual Try-On with Human Image Animation via Synthetic Triplet Supervision
👁 156 📚 21
Beyond the Final Actor: 为精致 LLM- Generated text 检测的创建者和编辑者双重角色建模
Beyond the Final Actor: Modeling the Dual Roles of Creator and Editor for Fine-Grained LLM-Generated...
👁 76 📚 2
期望强化学习:从基因路径法到分布价值函数
Anticipatory Reinforcement Learning: From Generative Path-Laws to Distributional Value Functions
👁 104 📚 22
通过信任动态及早停止大型理性模型
Early Stopping for Large Reasoning Models via Confidence Dynamics
👁 41 📚 1
设定配额:平衡覆盖面和制约因素
Dominating Set with Quotas: Balancing Coverage and Constraints
👁 43 📚 10
为什么规范化没有被充分利用? 关于信任和采用统计方法的经验研究
Why is Regularization Underused? An Empirical Study on Trust and Adoption of Statistical Methods
👁 157 📚 26
与晚期世界模式的分级规划
Hierarchical Planning with Latent World Models
👁 121 📚 11
CoME-VL: 放大多编码器视野-语言学习
CoME-VL: Scaling Complementary Multi-Encoder Vision-Language Learning
👁 186 📚 14
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