| 1 |
Quantum-Optimized Selective State Space Model for Efficient Time Series Prediction |
提出量子优化选择性状态空间模型以解决长时间序列预测问题 |
Mamba SSM state space model |
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| 2 |
A Knowledge-Guided Cross-Modal Feature Fusion Model for Local Traffic Demand Prediction |
提出知识引导的跨模态特征融合模型以解决交通需求预测问题 |
representation learning large language model multimodal |
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| 3 |
Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification |
提出InsightTab框架以解决少样本表格分类问题 |
distillation large language model |
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| 4 |
Spiking Decision Transformers: Local Plasticity, Phase-Coding, and Dendritic Routing for Low-Power Sequence Control |
提出脉冲决策变换器以解决低功耗序列控制问题 |
reinforcement learning decision transformer |
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| 5 |
FNODE: Flow-Matching for data-driven simulation of constrained multibody systems |
提出FNODE以解决多体系统数据驱动模拟中的高计算成本问题 |
flow matching |
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| 6 |
Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learning |
提出几何均值优化算法以提升强化学习长期策略表现 |
reinforcement learning |
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