Image de couverture de livre

Neuro-Symbolic Learning of Answer Set Programs from Raw Data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cunnington, Daniel, Law, Mark, Lobo, Jorge, Russo, Alessandra
Format:	Preprint
Publié:	2022
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning
par: Cunnington, Daniel, et autres
Publié: (2024)

Symbolic Parameter Learning in Probabilistic Answer Set Programming
par: Azzolini, Damiano, et autres
Publié: (2024)

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
par: Tao, Lue, et autres
Publié: (2023)

Failure Detection in Chemical Processes Using Symbolic Machine Learning: A Case Study on Ethylene Oxidation
par: Amblard, Julien, et autres
Publié: (2026)

Question Answering with LLMs and Learning from Answer Sets
par: Borroto, Manuel, et autres
Publié: (2025)

AS2 -- Attention-Based Soft Answer Sets: An End-to-End Differentiable Neuro-Soft-Symbolic Reasoning Architecture
par: AbdAlmageed, Wael
Publié: (2026)

LearnAD: Learning Interpretable Rules for Brain Networks in Alzheimer's Disease Classification
par: Andrews, Thomas, et autres
Publié: (2025)

Learning and Enforcing Context-Sensitive Control for LLMs
par: Albinhassan, Mohammad, et autres
Publié: (2026)

Semirings for Probabilistic and Neuro-Symbolic Logic Programming
par: Derkinderen, Vincent, et autres
Publié: (2024)

Dominating Set Reconfiguration with Answer Set Programming
par: Kato, Masato, et autres
Publié: (2024)

Counting Answer Sets of Disjunctive Answer Set Programs
par: Kabir, Mohimenul, et autres
Publié: (2025)

Federated Neuro-Symbolic Learning
par: Xing, Pengwei, et autres
Publié: (2023)

Counterfactual Generation with Answer Set Programming
par: Dasgupta, Sopam, et autres
Publié: (2024)

An Agentic Framework for Neuro-Symbolic Programming
par: Nafar, Aliakbar, et autres
Publié: (2026)

Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
par: Keller, Leon, et autres
Publié: (2025)

Streamliners for Answer Set Programming
par: Voboril, Florentina, et autres
Publié: (2026)

Neural Decision-Propagation for Answer Set Programming
par: Eiter, Thomas, et autres
Publié: (2026)

Neuro-Symbolic Data Generation for Math Reasoning
par: Li, Zenan, et autres
Publié: (2024)

Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs
par: Daggitt, Matthew L., et autres
Publié: (2024)

A Unifying Framework for Learning Argumentation Semantics
par: Mileva, Zlatina, et autres
Publié: (2023)

Answer-Set-Programming-based Abstractions for Reinforcement Learning
par: Bankosegger, Rafael, et autres
Publié: (2026)

Splitting Answer Set Programs with respect to Intensionality Statements (Extended Version)
par: Fandinno, Jorge, et autres
Publié: (2025)

Reasoning about Study Regulations in Answer Set Programming
par: Hahn, Susana, et autres
Publié: (2024)

Answer Set Networks: Casting Answer Set Programming into Deep Learning
par: Skryagin, Arseny, et autres
Publié: (2024)

Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable Policies
par: Baugh, Kexin Gu, et autres
Publié: (2025)

Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence
par: Fandinno, Jorge, et autres
Publié: (2024)

Compositional Neuro-Symbolic Reasoning
par: Das, Anugyan, et autres
Publié: (2026)

Comparing Non-minimal Semantics for Disjunction in Answer Set Programming
par: Aguado, Felicidad, et autres
Publié: (2025)

Probabilistic Answer Set Programming with Discrete and Continuous Random Variables
par: Azzolini, Damiano, et autres
Publié: (2024)

ConstraintLLM: A Neuro-Symbolic Framework for Industrial-Level Constraint Programming
par: Shi, Weichun, et autres
Publié: (2025)

Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning
par: Zhang, Xuan, et autres
Publié: (2025)

A Neuro-Symbolic Approach for Probabilistic Reasoning on Graph Data
par: Pojer, Raffaele, et autres
Publié: (2025)

Generating Global and Local Explanations for Tree-Ensemble Learning Methods by Answer Set Programming
par: Takemura, Akihiro, et autres
Publié: (2024)

Interpretable Hybrid Machine Learning Models Using FOLD-R++ and Answer Set Programming
par: Wielinga, Sanne, et autres
Publié: (2025)

Hybrid Answer Set Programming: Foundations and Applications
par: Rühling, Nicolas
Publié: (2025)

Towards Constraint Temporal Answer Set Programming
par: Cabalar, Pedro, et autres
Publié: (2025)

Defeasible Conditionals using Answer Set Programming
par: Dennison, Racquel, et autres
Publié: (2026)

Answer Set Programming for Flexible Payroll Management
par: Callewaert, Benjamin, et autres
Publié: (2024)

Strong Equivalence in Answer Set Programming with Constraints
par: Cabalar, Pedro, et autres
Publié: (2025)

Meta-Programming for Linear-time Temporal Answer Set Programming
par: Hahn, Susana, et autres
Publié: (2026)