cs.LG(2026-09-09)
📊 共 18 篇论文 | 🔗 2 篇有代码
🎯 兴趣领域导航
支柱九:具身大模型 (Embodied Foundation Models) (8 🔗2)
支柱二:RL算法与架构 (RL & Architecture) (6)
支柱一:机器人控制 (Robot Control) (2)
支柱三:空间感知与语义 (Perception & Semantics) (1)
支柱四:生成式动作 (Generative Motion) (1)
🔬 支柱九:具身大模型 (Embodied Foundation Models) (8 篇)
🔬 支柱二:RL算法与架构 (RL & Architecture) (6 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 9 | Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization | 提出SemiGroup-JEPA以解决物理建模的零-shot泛化问题 | diffusion policy world model worldmodel | ||
| 10 | Distillation of Synthetic Data for Time Series Foundation Models | 提出合成数据蒸馏方法以提升时间序列基础模型训练效率 | distillation foundation model | ||
| 11 | Searching for New Physics with Reinforcement Learning | 提出强化学习方法以寻找新物理现象的SMEFT运算符 | reinforcement learning | ||
| 12 | CompassOPD: Cross-Family On-Policy Distillation via Within-Family Likelihood Shifts | 提出CompassOPD以解决跨家族蒸馏效果下降问题 | distillation | ||
| 13 | Optimal Value Inference for Reinforcement Learning | 提出一种新方法以优化强化学习中的价值推断 | reinforcement learning | ||
| 14 | Teacher Geometry Shapes Learnability in Teacher-Student Networks | 提出教师几何形状可学习性以优化教师-学生网络 | teacher-student |
🔬 支柱一:机器人控制 (Robot Control) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 15 | Adversarial Training for Tabular Credit Scoring: A Multi-Attack Robustness Evaluation in P2P Lending | 提出对抗训练以提升P2P信贷评分的鲁棒性 | manipulation | ||
| 16 | Cascading Gradient Inversion via LT-Code Inspired Peeling in Federated Learning | 提出基于LT码的渐进梯度反演方法以解决联邦学习隐私泄露问题 | manipulation |
🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 17 | View-Structured Conformal Prediction for 3D Gaussian Splatting | 提出视结构一致性预测以解决3D高斯渲染的不确定性问题 | 3D gaussian splatting 3DGS gaussian splatting |
🔬 支柱四:生成式动作 (Generative Motion) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 18 | Field-level prediction of mid-plane stress tensor fields in concrete target penetration: a cross-velocity graph neural operator surrogate | 提出图神经算子代理以预测混凝土靶材的应力张量场 | penetration |