Richard Evans Inductive Logic Programming And Deep Learning Information Guide

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Inventing Inductive Logic Programming - Stephen Muggleton
Inventing Inductive Logic Programming - Stephen Muggleton
Stephen H Muggleton: Inductive Logic Programming II
Stephen H Muggleton: Inductive Logic Programming II
Stephen H Muggleton: Inductive Logic Programming I
Stephen H Muggleton: Inductive Logic Programming I
Learning Explanatory Rules from Noisy Data - Richard Evans, DeepMind
Learning Explanatory Rules from Noisy Data - Richard Evans, DeepMind
Fabrizio Riguzzi - Probabilistic Inductive Logic Programming, part 1
Fabrizio Riguzzi - Probabilistic Inductive Logic Programming, part 1
Inductive Logic Programming - Andrew Cropper
Inductive Logic Programming - Andrew Cropper
Transfer Learning by Inductive Logic Programming
Transfer Learning by Inductive Logic Programming
Fabrizio Riguzzi - Probabilistic Inductive Logic Programming, part 2
Fabrizio Riguzzi - Probabilistic Inductive Logic Programming, part 2
Meta-Interpretive Learning and Program Induction
Meta-Interpretive Learning and Program Induction
(Pt. 2) Inductive Logic Programming with LNN's
(Pt. 2) Inductive Logic Programming with LNN's
ANDRE: Attention-based Neurosymbolic Differentiable Rule Extractor for Inductive Logic Programming
ANDRE: Attention-based Neurosymbolic Differentiable Rule Extractor for Inductive Logic Programming

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Last Updated: September 30, 2026

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Summary

Lecture 19, Friday 6 July 2018, part of the FoPSS Lecture 20, Friday 6 July 2018, part of the FoPSS Neural Abstract Machines & Program Lecture 18, Thursday 5 July 2018, part of the FoPSS Lecture 17, Thursday 5 July 2018, part of the FoPSS Lecture by Fabrizio Riguzzi at the ACAI 2018 Summer School on Statistical Relational Artificial Intelligence August 27th - 31st ... ... where he works on combining logical reasoning with Presented by Yuichiro Sato, Hiroyuki Iida and H.J. van den Herik at the 14th International Advances in Computer Games ... This talk will review work at Imperial College on the development of Meta-Interpretive This video provides an overview of some work from IBM research on Link to the paper: arxiv.org/pdf/2605.04193 Abstract

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