arXiv (OAI Expanded)
open access
Bias-Induced Crossover in Absolute Capacity of Dense Associative Memory
The absolute capacity of dense associative memory has mainly been analyzed for unbiased patterns. Here we examine the effect of bias in centered binary patterns under the Krotov-Hopfield single-site criterion $P_{\mathrm{error}}=1/N$, where $P_{\mathrm{error}}$ is the probability that a single-site
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
- Bias-Induced Crossover in Absolute Capacity of Dense Associative Memory#919378
- Stable and Fair Random Allocations in a Two-Sided Discrete-Concave Market#1155236
- RedKnot: Efficient Long-Context LLM Serving with Head-Aware KV Reuse and SegPagedAttention#1050884
- Improved lower bounds for the Shannon capacity of odd cycles#394444
- Quantitative Attractor Analysis of High-Capacity Kernel Hopfield Networks#131319
Record · ID 1123836
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