Research map / Architectures and efficiency / RNNs and normalization
Grounding Neural Inference with Satisfiability Modulo Theories
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Learning Better Representations From Less Data For Propositional Satisfiability (NeurIPS 2024 · similarity 0.88)
- SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver (ICML 2019 · similarity 0.88)
- Teaching Temporal Logics to Neural Networks (ICLR 2021 · similarity 0.88)
- Techniques for Symbol Grounding with SATNet (NeurIPS 2021 · similarity 0.87)
- Transformers Provably Solve Parity Efficiently with Chain of Thought (ICLR 2025 · similarity 0.86)
- Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning (AAAI 2026 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
