arXiv (All)
open access
Recasting the Destroy Step of Large Neighborhood Search as Dense Segmentation
Large neighborhood search improves an incumbent by releasing selected variables and repairing the resulting subproblem under a time limit. FOVEA casts variable selection as dense semantic segmentation on a fixed $128\times128$ canvas. A small U-Net reads twelve semantic channels and predicts cell sc
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- HyperErase: Scale-Calibrated Hypernetwork for Multi-Concept Erasure in Text-to-Image Models#1105712
- MoEMB: Scaling Universal Multimodal Embeddings with Efficient Mixture-of-Experts Models#985995
- BiFE: Search-Efficient Discovery of CPU-Only Branching Policies via LLM-based Bi-Fidelity Evolution#1131936
- Trust the Direction, Search the Step: Zero-and-First-Order Methods for LLM Fine-Tuning#1161018
- Trust the Direction, Search the Step: Zero-and-First-Order Methods for LLM Fine-Tuning#1157538
Record · ID 1037033
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive