arXiv (All)
open access
Symbolic Neural Generation with Applications to Lead Discovery in Drug Design
We investigate a relatively under-explored class of hybrid neurosymbolic models that integrate symbolic learning with neural reasoning to construct data generators meeting formal correctness criteria. In Symbolic Neural Generators (SNGs), symbolic learners examine logical specifications of feasible
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
- Compliance vs. Sensibility: On the Reasoning Controllability in Large Language Models#974398
- Agentic AI for Scaling Diagnosis and Care in Neurodegenerative Disease#612762
- Agentic AI for Scaling Diagnosis and Care in Neurodegenerative Disease#611285
- Symbolic Logic Study Guide (a textbook)#776363
- Robotlar ve planlama#79520
Record · ID 820269
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