From the 7 of 82 papers with an AI index.
63 citations
- Peking UniversityCN40 papers
- Hunan UniversityCN38 papers
- Tsinghua UniversityCN37 papers
- University of Science and Technology of ChinaCN37 papers
- Guangxi Normal UniversityCN36 papers
- Lanzhou UniversityCN36 papers
- Zhejiang UniversityCN36 papers
- Beihang UniversityCN35 papers
- Nanjing Normal UniversityCN35 papers
- Nanjing UniversityCN35 papers
- Ruhr University BochumDE35 papers
- Shanghai Jiao Tong UniversityCN35 papers
4 papers · 1 filter
Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance
Zixuan Shen, Bingchuan Wang, Zhi Wang +1
The paper proposes a two‑stage diffusion model that learns how to adaptively place mesh points for neural PDE solvers before predicting the field evolution, using physics‑aware con…
Adaptive NN graph model
Jiaye Li, Hang Xu, Shichao Zhang
The -nearest neighbors (NN) algorithm is a cornerstone of non-parametric classification in artificial intelligence, yet its deployment in large-scale applications is persiste…
LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation
Zhuo Chen, Xinzhe Yuan, Jianshu Zhang +8
The high cost and data scarcity in scientific exploration have motivated the use of large language models (LLMs) as knowledge-driven components in Bayesian optimization (BO). Howev…
Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning
Tianmeng Hu, Yongzheng Cui, Rui Tang +2
Value decomposition is a central approach in multi-agent reinforcement learning (MARL), enabling centralized training with decentralized execution by factorizing the global value f…