#monte-carlo2 articles

2 articles

AIBullisharXiv – CS AI · 5h ago1

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HarmonyCell: Automating Single-Cell Perturbation Modeling under Semantic and Distribution Shifts

HarmonyCell is a new AI framework that automates single-cell perturbation modeling by addressing data inconsistencies across different biological datasets. The system uses LLM-driven semantic unification and adaptive Monte Carlo Tree Search to achieve 95% execution rates on heterogeneous datasets while matching expert-designed baselines.

AIBullisharXiv – CS AI · 5h ago1

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WirelessAgent++: Automated Agentic Workflow Design and Benchmarking for Wireless Networks

Researchers propose WirelessAgent++, an automated framework for designing AI agent workflows in wireless networks using Monte Carlo Tree Search. The system achieves superior performance on wireless tasks with test scores up to 97%, outperforming existing methods by up to 31% while maintaining low computational costs under $5 per task.