Imagen de Portada

The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lorello, Luca Salvatore, Lippi, Marco, Melacci, Stefano
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning
por: Lorello, Luca Salvatore, et al.
Publicado: (2025)

A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge
por: Lorello, Luca Salvatore, et al.
Publicado: (2025)

A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
por: Bortolotti, Samuele, et al.
Publicado: (2024)

Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts
por: Marconato, Emanuele, et al.
Publicado: (2025)

BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts
por: Marconato, Emanuele, et al.
Publicado: (2024)

The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning
por: Cunnington, Daniel, et al.
Publicado: (2024)

A Unified Framework for Neural Computation and Learning Over Time
por: Melacci, Stefano, et al.
Publicado: (2024)

Generative System Dynamics in Recurrent Neural Networks
por: Casoni, Michele, et al.
Publicado: (2025)

Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection
por: Hu, Wen-Chao, et al.
Publicado: (2024)

A Learnability Analysis on Neuro-Symbolic Learning
por: He, Hao-Yuan, et al.
Publicado: (2025)

Advanced Weakly-Supervised Formula Exploration for Neuro-Symbolic Mathematical Reasoning
por: Wu, Yuxuan, et al.
Publicado: (2025)

Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning
por: Keller, Leon, et al.
Publicado: (2025)

Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
por: Hersche, Michael, et al.
Publicado: (2024)

Neuro-Symbolic Rule Lists
por: Xu, Sascha, et al.
Publicado: (2024)

Simple and Effective Transfer Learning for Neuro-Symbolic Integration
por: Daniele, Alessandro, et al.
Publicado: (2024)

Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints
por: Scassola, Davide, et al.
Publicado: (2023)

Concise and Logically Consistent Conformal Sets for Neuro-Symbolic Concept-Based Models
por: Bortolotti, Samuele, et al.
Publicado: (2026)

Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
por: Bortolotti, Samuele, et al.
Publicado: (2025)

A Neuro-Symbolic Framework for Answering Graph Pattern Queries in Knowledge Graphs
por: Cucumides, Tamara, et al.
Publicado: (2023)

Logically Consistent Language Models via Neuro-Symbolic Integration
por: Calanzone, Diego, et al.
Publicado: (2024)

Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning
por: Singireddy, Suraj, et al.
Publicado: (2023)

GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning
por: Shindo, Hikaru, et al.
Publicado: (2026)

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
por: Tao, Lue, et al.
Publicado: (2023)

Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
por: Yang, Xiao-Wen, et al.
Publicado: (2025)

Learning for Long-Horizon Planning via Neuro-Symbolic Abductive Imitation
por: Shao, Jie-Jing, et al.
Publicado: (2024)

Softened Symbol Grounding for Neuro-symbolic Systems
por: Li, Zenan, et al.
Publicado: (2024)

Neuro-Argumentative Learning with Case-Based Reasoning
por: Gould, Adam, et al.
Publicado: (2025)

Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
por: Dickens, Charles, et al.
Publicado: (2024)

Explainable Diagnosis Prediction through Neuro-Symbolic Integration
por: Lu, Qiuhao, et al.
Publicado: (2024)

Neuro-Symbolic AI: Explainability, Challenges, and Future Trends
por: Zhang, Xin, et al.
Publicado: (2024)

Bridging the Gap: Representation Spaces in Neuro-Symbolic AI
por: Zhang, Xin, et al.
Publicado: (2024)

ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
por: Arrotta, Luca, et al.
Publicado: (2024)

Can VLMs Reason Robustly? A Neuro-Symbolic Investigation
por: Chen, Weixin, et al.
Publicado: (2026)

A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic
por: Cotnareanu, Joseph, et al.
Publicado: (2026)

Neuro-Symbolic Decoding of Neural Activity
por: Wang, Yanchen, et al.
Publicado: (2026)

AXIOM: A Trust-First Neuro-Symbolic Execution Architecture for Verifiable Mathematical Reasoning
por: Bruno, Alessio
Publicado: (2026)

ANSR-DT: An Adaptive Neuro-Symbolic Learning and Reasoning Framework for Digital Twins
por: Hakim, Safayat Bin, et al.
Publicado: (2025)

Hybrid Learners Do Not Forget: A Brain-Inspired Neuro-Symbolic Approach to Continual Learning
por: Banayeeanzade, Amin, et al.
Publicado: (2025)

NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models
por: Liang, Feng, et al.
Publicado: (2025)

Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning
por: He, Haoyuan, et al.
Publicado: (2022)