cs.LG（2025-01-10）

📊 共 11 篇论文

🎯 兴趣领域导航

支柱二：RL算法与架构 (RL & Architecture) (5) 支柱九：具身大模型 (Embodied Foundation Models) (4) 支柱一：机器人控制 (Robot Control) (1) 支柱四：生成式动作 (Generative Motion) (1)

🔬 支柱二：RL算法与架构 (RL & Architecture) (5 篇)

#	题目	一句话要点	标签	🔗	⭐
1	Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing	提出基于序贯数据预处理的因果公平强化学习框架，解决多阶段决策中的偏差问题。	reinforcement learning policy learning
2	A monthly sub-national Harmonized Food Insecurity Dataset for comprehensive analysis and predictive modeling	构建月度次国家级统一粮食不安全数据集，用于综合分析和预测建模	predictive model
3	Investigating the Impact of Observation Space Design Choices On Training Reinforcement Learning Solutions for Spacecraft Problems	研究观测空间设计对强化学习解决航天器问题的性能影响	reinforcement learning
4	From discrete-time policies to continuous-time diffusion samplers: Asymptotic equivalences and faster training	提出连续时间扩散采样器以提高神经随机微分方程训练效率	reinforcement learning differentiable simulation
5	Element-wise Attention Is All You Need	提出元素级注意力机制以解决自注意力复杂性问题	state space model linear attention

🔬 支柱九：具身大模型 (Embodied Foundation Models) (4 篇)

#	题目	一句话要点	标签	🔗	⭐
6	CognoSpeak: an automatic, remote assessment of early cognitive decline in real-world conversational speech	CognoSpeak：一种基于真实对话语音的早期认知衰退自动远程评估系统	large language model multimodal
7	Using Pre-trained LLMs for Multivariate Time Series Forecasting	提出基于LLM的多元时间序列预测方法，通过新颖的patching策略实现SOTA水平。	large language model
8	Aggregating Low Rank Adapters in Federated Fine-tuning	提出一种新的联邦微调中低秩适配器聚合方法，提升GLUE基准性能	large language model
9	Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory	针对个性化LLM的分裂学习中模型反演攻击研究，基于信息瓶颈理论提出新型攻击方法。	large language model

🔬 支柱一：机器人控制 (Robot Control) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
10	Real-Time Decision-Making for Digital Twin in Additive Manufacturing with Model Predictive Control using Time-Series Deep Neural Networks	提出基于时序深度神经网络的MPC数字孪生方法，用于增材制造实时决策。	MPC model predictive control

🔬 支柱四：生成式动作 (Generative Motion) (1 篇)

#	题目	一句话要点	标签	🔗	⭐
11	Do we actually understand the impact of renewables on electricity prices? A causal inference approach	提出局部部分线性双重机器学习方法，量化可再生能源对电价的因果影响	penetration

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