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Statistical inference for subgraph counts and clustering coefficient using network sampling in a sparse Stochastic Block Model framework
Arxiv
0+阅读 · 4月13日
A Modular LLM Framework for Explainable Price Outlier Detection
Arxiv
0+阅读 · 3月21日
DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
Arxiv
0+阅读 · 3月25日
DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
Arxiv
0+阅读 · 4月1日
A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models
Arxiv
0+阅读 · 4月23日
Automation-Exploit: A Multi-Agent LLM Framework for Adaptive Offensive Security with Digital Twin-Based Risk-Mitigated Exploitation
Arxiv
0+阅读 · 4月24日
Cross-Domain Query Translation for Network Troubleshooting: A Multi-Agent LLM Framework with Privacy Preservation and Self-Reflection
Arxiv
0+阅读 · 4月14日
An Investigation of the Relation Between Immersion and Learning Across Three Domains
Arxiv
0+阅读 · 3月2日
Motivation is Something You Need
Arxiv
0+阅读 · 2月24日
The Spurious Factor Dilemma: Robust Inference in Heavy-Tailed Elliptical Factor Models
Arxiv
0+阅读 · 3月3日
Learning from geometry-aware near misses to real-time COR: A corridor-wide grouped random parameters GEV framework
Arxiv
0+阅读 · 2月20日
LogiPart: Local Large Language Models for Data Exploration at Scale with Logical Partitioning
Arxiv
0+阅读 · 2月17日
MSP-LLM: A Unified Large Language Model Framework for Complete Material Synthesis Planning
Arxiv
0+阅读 · 2月10日
LogSyn: A Few-Shot LLM Framework for Structured Insight Extraction from Unstructured General Aviation Maintenance Logs
Arxiv
0+阅读 · 2月8日
Benchmarking Autonomous Vehicles: A Driver Foundation Model Framework
Arxiv
0+阅读 · 2月9日
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