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Turning 30: New Ideas in Inductive Logic Programming

International Joint Conference on Artificial Intelligence (IJCAI), 2020

25 February 2020

Papers citing "Turning 30: New Ideas in Inductive Logic Programming"

42 / 42 papers shown

Integrating Machine Learning into Belief-Desire-Intention Agents: Current Advances and Open Challenges

Andrea Agiollo

Andrea Omicini

LM&Ro AI4CE

214

23 Oct 2025

Lattice Annotated Temporal (LAT) Logic for Non-Markovian Reasoning

Kaustuv Mukherji

Jaikrishna Manojkumar Patil

202

03 Sep 2025

Towards Probabilistic Inductive Logic Programming with Neurosymbolic Inference and RelaxationTheory and Practice of Logic Programming (TPLP), 2024

Fieke Hillerstrom

Gertjan J. Burghouts

NAI

372

21 Aug 2024

Assessing SATNet's Ability to Solve the Symbol Grounding ProblemNeural Information Processing Systems (NeurIPS), 2023

249

13 Dec 2023

Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies

Shengze Jin

M. Yildirim

Saber Fallah

391

27 Sep 2023

Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming ApproachInternational Conference on Logic Programming (ICLP), 2023

Zahra Chaghazardi

Saber Fallah

Alireza Tamaddoni-Nezhad

AAML

184

30 Aug 2023

Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and DisgustInternational Conference on Inductive Logic Programming (ILP), 2023

226

27 Aug 2023

Learning Differentiable Logic Programs for Abstract Visual ReasoningMachine-mediated learning (ML), 2023

435

03 Jul 2023

V-LoL: A Diagnostic Dataset for Visual Logical Learning

412

13 Jun 2023

Neurosymbolic AI for Reasoning over Knowledge Graphs: A SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023

651

14 Feb 2023

Shrinking the Inductive Programming Search Space with Instruction SubsetsInternational Conference on Agents and Artificial Intelligence (ICAART), 2023

Edward McDaid

S. McDaid

138

10 Feb 2023

Programming by Example and Text-to-Code Translation for Conversational Code Generation

278

21 Nov 2022

Learning programs with magic valuesMachine-mediated learning (ML), 2022

Céline Hocquette

Andrew Cropper

250

05 Aug 2022

A Model-Oriented Approach for Lifting Symmetries in Answer Set Programming

Alice Tarzariol

174

05 Aug 2022

Efficient lifting of symmetry breaking constraints for complex combinatorial problemsTheory and Practice of Logic Programming (TPLP), 2022

Alice Tarzariol

Martin Gebser

Mark Law

Konstantin Schekotihin

248

14 May 2022

R5: Rule Discovery with Reinforced and Recurrent Relational ReasoningInternational Conference on Learning Representations (ICLR), 2022

260

13 May 2022

CrossBeam: Learning to Search in Bottom-Up Program SynthesisInternational Conference on Learning Representations (ICLR), 2022

156

20 Mar 2022

PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent

316

01 Feb 2022

A Critical Review of Inductive Logic Programming Techniques for Explainable AIIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021

398

31 Dec 2021

Learning Logic Programs From Noisy Failures

J. Wahlig

343

28 Dec 2021

A Survey on Interpretable Reinforcement LearningMachine-mediated learning (ML), 2021

Jianye Hao

457

160

24 Dec 2021

Lifting Symmetry Breaking Constraints with Inductive Logic ProgrammingMachine-mediated learning (ML), 2020

Alice Tarzariol

Martin Gebser

Konstantin Schekotihin

255

22 Dec 2021

Preprocessing in Inductive Logic Programming

Bradford L. Hunter

21 Dec 2021

On the Complexity of Inductively Learning Guarded Rules

Andrei Draghici

Georg Gottlob

Matthias Lanzinger

112

07 Oct 2021

Learning compositional programs with arguments and sampling

Giovanni De Toni

L. Erculiani

Baptiste Caramiaux

292

01 Sep 2021

Incorporation of Deep Neural Network & Reinforcement Learning with Domain Knowledge

Aryan Karn

Ashutosh Acharya

274

29 Jul 2021

A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural NetworksScientific Reports (Sci Rep), 2021

452

170

21 Jul 2021

FF-NSL: Feed-Forward Neural-Symbolic Learner

345

24 Jun 2021

Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming

Duo Xu

Faramarz Fekri

299

21 Jun 2021

A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and ConceptsData mining and knowledge discovery (DMKD), 2021

Gesina Schwalbe

Bettina Finzel

XAI

571

299

15 May 2021

Predicate Invention by Learning From Failures

Andrew Cropper

Rolf Morel

239

29 Apr 2021

Learning Symbolic Rules for Interpretable Deep Reinforcement Learning

Jianye Hao

348

15 Mar 2021

Incorporating Domain Knowledge into Deep Neural Networks

333

27 Feb 2021

Differentiable Logic Machines

Jianyi Zhang

450

23 Feb 2021

A Relational Tsetlin Machine with Applications to Natural Language UnderstandingJournal of Intelligence and Information Systems (JIIS), 2021

Rupsa Saha

Ole-Christoffer Granmo

Vladimir Zadorozhny

Morten Goodwin

NAI

235

22 Feb 2021

Inductive logic programming at 30Machine-mediated learning (ML), 2021

343

21 Feb 2021

NSL: Hybrid Interpretable Learning From Noisy Raw Data

284

09 Dec 2020

Towards Abstract Relational Learning in Human Robot Interaction

Mohamadreza Faridghasemnia

Daniele Nardi

A. Saffiotti

127

20 Nov 2020

Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases

459

147

24 Sep 2020

Logic Programming and Machine Ethics

Abeer Dyoub

Stefania Costantini

F. Lisi

162

22 Sep 2020

Inducing game rules from varying quality game play

Alastair Flynn

321

04 Aug 2020

Learning programs by learning from failuresMachine-mediated learning (ML), 2020

Andrew Cropper

Rolf Morel

523

115

05 May 2020