Learning big logical rules by joining small rules
Fuente:
arXiv
Saved in:
| Main Authors: | Hocquette, Céline, Niskanen, Andreas, Morel, Rolf, Järvisalo, Matti, Cropper, Andrew |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning logic programs by finding minimal unsatisfiable subprograms
by: Cropper, Andrew, et al.
Published: (2024)
by: Cropper, Andrew, et al.
Published: (2024)
Symmetry breaking for inductive logic programming
by: Cropper, Andrew, et al.
Published: (2025)
by: Cropper, Andrew, et al.
Published: (2025)
Learning logic programs by discovering higher-order abstractions
by: Hocquette, Céline, et al.
Published: (2023)
by: Hocquette, Céline, et al.
Published: (2023)
Relational decomposition for program synthesis
by: Hocquette, Céline, et al.
Published: (2024)
by: Hocquette, Céline, et al.
Published: (2024)
Neural logic programs and neural nets
by: Antić, Christian
Published: (2024)
by: Antić, Christian
Published: (2024)
Scaling the weight parameters in Markov logic networks and relational logistic regression models
by: Weitkämper, Felix
Published: (2021)
by: Weitkämper, Felix
Published: (2021)
Symbolic Snapshot Ensembles
by: Liu, Mingyue, et al.
Published: (2025)
by: Liu, Mingyue, et al.
Published: (2025)
On logic and generative AI
by: Gurevich, Yuri, et al.
Published: (2024)
by: Gurevich, Yuri, et al.
Published: (2024)
The logic of KM belief update is contained in the logic of AGM belief revision
by: Bonanno, Giacomo
Published: (2026)
by: Bonanno, Giacomo
Published: (2026)
Semantic Objective Functions: A distribution-aware method for adding logical constraints in deep learning
by: Mendez-Lucero, Miguel Angel, et al.
Published: (2024)
by: Mendez-Lucero, Miguel Angel, et al.
Published: (2024)
Learning to Solve and Optimize by Evolving Code
by: Semmelrock, Veronika, et al.
Published: (2026)
by: Semmelrock, Veronika, et al.
Published: (2026)
Robust Shielding for Safe Reinforcement Learning
by: Court, Edwin Hamel-De le, et al.
Published: (2026)
by: Court, Edwin Hamel-De le, et al.
Published: (2026)
Machine Learning for Quantifier Selection in cvc5
by: Jakubův, Jan, et al.
Published: (2024)
by: Jakubův, Jan, et al.
Published: (2024)
Inductive Generalization in Reinforcement Learning from Specifications
by: Subramanian, Vignesh, et al.
Published: (2024)
by: Subramanian, Vignesh, et al.
Published: (2024)
SATformer: Transformer-Based UNSAT Core Learning
by: Shi, Zhengyuan, et al.
Published: (2022)
by: Shi, Zhengyuan, et al.
Published: (2022)
Learning Explainable and Better Performing Representations of POMDP Strategies
by: Bork, Alexander, et al.
Published: (2024)
by: Bork, Alexander, et al.
Published: (2024)
Inference of Abstraction for a Unified Account of Reasoning and Learning
by: Kido, Hiroyuki
Published: (2024)
by: Kido, Hiroyuki
Published: (2024)
Compositional Shielding and Reinforcement Learning for Multi-Agent Systems
by: Brorholt, Asger Horn, et al.
Published: (2024)
by: Brorholt, Asger Horn, et al.
Published: (2024)
LeanAgent: Lifelong Learning for Formal Theorem Proving
by: Kumarappan, Adarsh, et al.
Published: (2024)
by: Kumarappan, Adarsh, et al.
Published: (2024)
Can Transformers Learn to Verify During Backtracking Search?
by: Phua, Yin Jun, et al.
Published: (2026)
by: Phua, Yin Jun, et al.
Published: (2026)
Learning Concepts Definable in First-Order Logic with Counting
by: van Bergerem, Steffen
Published: (2019)
by: van Bergerem, Steffen
Published: (2019)
Learning Brave Assumption-Based Argumentation Frameworks via ASP
by: De Angelis, Emanuele, et al.
Published: (2024)
by: De Angelis, Emanuele, et al.
Published: (2024)
Learning Temporal Logic Predicates from Data with Statistical Guarantees
by: Soroka, Emi, et al.
Published: (2024)
by: Soroka, Emi, et al.
Published: (2024)
PiShield: A PyTorch Package for Learning with Requirements
by: Stoian, Mihaela Cătălina, et al.
Published: (2024)
by: Stoian, Mihaela Cătălina, et al.
Published: (2024)
Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning
by: He, Haoyuan, et al.
Published: (2022)
by: He, Haoyuan, et al.
Published: (2022)
Compact Rule-Based Classifier Learning via Gradient Descent
by: Fumanal-Idocin, Javier, et al.
Published: (2025)
by: Fumanal-Idocin, Javier, et al.
Published: (2025)
Multitask Kernel-based Learning with First-Order Logic Constraints
by: Diligenti, Michelangelo, et al.
Published: (2023)
by: Diligenti, Michelangelo, et al.
Published: (2023)
A Reinforcement Learning based Reset Policy for CDCL SAT Solvers
by: Li, Chunxiao, et al.
Published: (2024)
by: Li, Chunxiao, et al.
Published: (2024)
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
by: Su, DiJia, et al.
Published: (2024)
by: Su, DiJia, et al.
Published: (2024)
Constraint-aware Learning of Probabilistic Sequential Models for Multi-Label Classification
by: Buleshnyi, Mykhailo, et al.
Published: (2025)
by: Buleshnyi, Mykhailo, et al.
Published: (2025)
Transfer Learning from Foundational Optimization Embeddings to Unsupervised SAT Representations
by: Pal, Koyena, et al.
Published: (2026)
by: Pal, Koyena, et al.
Published: (2026)
Discovering New Theorems via LLMs with In-Context Proof Learning in Lean
by: Kasaura, Kazumi, et al.
Published: (2025)
by: Kasaura, Kazumi, et al.
Published: (2025)
Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models
by: Joshi, Aniruddha, et al.
Published: (2025)
by: Joshi, Aniruddha, et al.
Published: (2025)
SDSC:A Structure-Aware Metric for Semantic Signal Representation Learning
by: Lee, Jeyoung, et al.
Published: (2025)
by: Lee, Jeyoung, et al.
Published: (2025)
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach
by: Meli, Daniele, et al.
Published: (2024)
by: Meli, Daniele, et al.
Published: (2024)
Machine Learning Model Integration with Open World Temporal Logic for Process Automation
by: Aditya, Dyuman, et al.
Published: (2025)
by: Aditya, Dyuman, et al.
Published: (2025)
Value Function Initialization for Knowledge Transfer and Jump-start in Deep Reinforcement Learning
by: Mehimeh, Soumia
Published: (2025)
by: Mehimeh, Soumia
Published: (2025)
Uppaal Coshy: Automatic Synthesis of Compact Shields for Hybrid Systems
by: Brorholt, Asger Horn, et al.
Published: (2025)
by: Brorholt, Asger Horn, et al.
Published: (2025)
Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies
by: Baugh, Kexin Gu, et al.
Published: (2025)
by: Baugh, Kexin Gu, et al.
Published: (2025)
Scalable Knowledge Refactoring using Constrained Optimisation
by: Liu, Minghao, et al.
Published: (2024)
by: Liu, Minghao, et al.
Published: (2024)
Similar Items
-
Learning logic programs by finding minimal unsatisfiable subprograms
by: Cropper, Andrew, et al.
Published: (2024) -
Symmetry breaking for inductive logic programming
by: Cropper, Andrew, et al.
Published: (2025) -
Learning logic programs by discovering higher-order abstractions
by: Hocquette, Céline, et al.
Published: (2023) -
Relational decomposition for program synthesis
by: Hocquette, Céline, et al.
Published: (2024) -
Neural logic programs and neural nets
by: Antić, Christian
Published: (2024)