\(\alpha\)ILP: thinking visual scenes as differentiable logic programs

DOI10.1007/s10994-023-06320-1OpenAlexW4324134086MaRDI QIDQ6161205

Hikaru Shindo, Viktor Pfanschilling, Kristian Kersting, Devendra Singh Dhami

Publication date: 27 June 2023

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-023-06320-1

zbMATH Keywords

inductive logic programmingdifferentiable reasoningneuro-symbolic AIobject-centric learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Semantic-based regularization for learning and inference
• Foundations of inductive logic programming
• Learning programs by learning from failures
• Analyzing differentiable fuzzy logic operators
• Inductive logic programming at 30
• Learning higher-order logic programs
• Stacked structure learning for lifted relational neural networks
• Neural probabilistic logic programming in DeepProbLog
• Kandinsky patterns
• Lifted discriminative learning of probabilistic logic programs
• Probabilistic inductive logic programming. Theory and applications
• Logic tensor networks
• Statistical Relational Artificial Intelligence: Logic, Probability, and Computation
• Inductive Learning of Answer Set Programs
• Structure learning of probabilistic logic programs by searching the clause space
• Learning Explanatory Rules from Noisy Data
• Mode-Directed Inverse Entailment for Full Clausal Theories
• Inductive logic programming

This page was built for publication: \(\alpha\)ILP: thinking visual scenes as differentiable logic programs