Learning Explanatory Rules from Noisy Data

13 November 2017

Papers citing "Learning Explanatory Rules from Noisy Data"

50 / 252 papers shown

Title
Neuro-symbolic Weak Supervision: Theory and Semantics Nijesh Upreti Vaishak Belle NAI 42 0 0 24 Mar 2025
A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives Delower Hossain Jake Y Chen NAI 47 1 0 23 Mar 2025
Neurosymbolic Decision Trees Matthias Möller Arvid Norlander Pedro Zuidberg Dos Martires Luc de Raedt NAI 44 0 0 11 Mar 2025
An Empirical Comparison of Cost Functions in Inductive Logic Programming Céline Hocquette Andrew Cropper 57 0 0 10 Mar 2025
Neuro-Symbolic Contrastive Learning for Cross-domain Inference Mingyue Liu Ryo Ueda Zhen Wan Katsumi Inoue Chris G. Willcocks NAI 72 0 0 13 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yuqing Yang Xiao Lin Zhipeng Zhao SSL 86 9 0 28 Jan 2025
Inductive Learning of Robot Task Knowledge from Raw Data and Online Expert Feedback Daniele Meli Paolo Fiorini 41 0 0 13 Jan 2025
Common Sense Is All You Need Hugo Latapie 39 0 0 11 Jan 2025
RuAG: Learned-rule-augmented Generation for Large Language Models Yudi Zhang Pei Xiao Lu Wang C. Zhang Meng Fang ... Qingwei Lin Mykola Pechenizkiy Dongmei Zhang Saravan Rajmohan Qi Zhang LRM 43 0 0 04 Nov 2024
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation Bowen Li Zhaoyu Li Qiwei Du Jinqi Luo Wenshan Wang ... Katia P. Sycara Pradeep Kumar Ravikumar Alexander G. Gray X. Si Sebastian A. Scherer AI4CE LRM 81 3 0 01 Nov 2024
Differentiable Inductive Logic Programming for Fraud Detection Boris Wolfson Erman Acar 37 0 0 29 Oct 2024
Neuro-symbolic Learning Yielding Logical Constraints Zenan Li Yunpeng Huang Zhaoyu Li Yuan Yao Jingwei Xu Taolue Chen Xiaoxing Ma Jian Lu NAI 50 5 0 28 Oct 2024
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning Hikaru Shindo Quentin Delfosse Devendra Singh Dhami Kristian Kersting 43 3 0 15 Oct 2024
System 2 Reasoning via Generality and Adaptation Sejin Kim Sundong Kim LRM AI4CE 73 0 0 10 Oct 2024
LLM-Augmented Symbolic Reinforcement Learning with Landmark-Based Task Decomposition Alireza Kheirandish Duo Xu Faramarz Fekri 21 0 0 02 Oct 2024
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture Zishen Wan Che-Kai Liu Hanchen Yang Ritik Raj Chaojian Li ... Yingyan Celine Lin Mohamed Ibrahim Jan M. Rabaey Tushar Krishna A. Raychowdhury 44 8 0 20 Sep 2024
Differentiable Logic Programming for Distant Supervision A. Takemura Katsumi Inoue NAI 30 0 0 22 Aug 2024
Variable Assignment Invariant Neural Networks for Learning Logic Programs Yin Jun Phua Katsumi Inoue 27 0 0 20 Aug 2024
Relational Graph Convolutional Networks Do Not Learn Sound Rules Matthew Morris David Tena Cucala Bernardo Cuenca Grau Ian Horrocks 23 0 0 14 Aug 2024
On the use of neurosymbolic AI for defending against cyber attacks G. Grov Jonas Halvorsen Magnus Wiik Eckhoff Bjørn Jervell Hansen Martin Eian Vasileios Mavroeidis AAML NAI 35 0 0 09 Aug 2024
Interpretable Concept-Based Memory Reasoning David Debot Pietro Barbiero Francesco Giannini Gabriele Ciravegna Michelangelo Diligenti Giuseppe Marra LRM 31 7 0 22 Jul 2024
Questionable practices in machine learning Gavin Leech Juan J. Vazquez Misha Yagudin Niclas Kupper Laurence Aitchison 53 4 0 17 Jul 2024
Graph Reasoning Networks Markus Zopf Francesco Alesiani GNN NAI AI4CE 37 0 0 08 Jul 2024
Metacognitive AI: Framework and the Case for a Neurosymbolic Approach Hua Wei Paulo Shakarian Christian Lebiere Bruce Draper Nikhil Krishnaswamy Sergei Nirenburg LRM 27 5 0 17 Jun 2024
EXPIL: Explanatory Predicate Invention for Learning in Games Jingyuan Sha Hikaru Shindo Quentin Delfosse Kristian Kersting Devendra Singh Dhami 25 5 0 10 Jun 2024
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs Zitao Song Chao Yang Chaojie Wang Bo An Shuang Li 60 4 0 03 Jun 2024
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models L. Ai Stephen Muggleton Shishun Liang Geoff S. Baldwin 29 1 0 10 May 2024
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic Connor Pryor Quan Yuan J. Liu Mehran Kazemi Deepak Ramachandran Tania Bedrax-Weiss Lise Getoor 29 1 0 26 Mar 2024
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning Kinjal Basu K. Murugesan Subhajit Chaudhury Murray Campbell Kartik Talamadupula Tim Klinger LLMAG OffRL 27 3 0 15 Mar 2024
Learning Guided Automated Reasoning: A Brief Survey Lasse Blaauwbroek David M. Cerna Thibault Gauthier Jan Jakubruv C. Kaliszyk Martin Suda Josef Urban LRM 27 4 0 06 Mar 2024
Learning with Logical Constraints but without Shortcut Satisfaction Zenan Li Zehua Liu Yuan Yao Jingwei Xu Taolue Chen Xiaoxing Ma Jian Lu NAI 27 18 0 01 Mar 2024
DeiSAM: Segment Anything with Deictic Prompting Hikaru Shindo Manuel Brack Gopika Sudhakaran Devendra Singh Dhami P. Schramowski Kristian Kersting VLM 46 2 0 21 Feb 2024
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs Siheng Xiong Yuan Yang Faramarz Fekri J. C. Kerce 46 49 0 19 Feb 2024
TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection Hui Liu Wenya Wang Haoru Li Haoliang Li 47 3 0 12 Feb 2024
Learning big logical rules by joining small rules Céline Hocquette Andreas Niskanen Rolf Morel Matti Jarvisalo Andrew Cropper 29 1 0 29 Jan 2024
LLMs for Relational Reasoning: How Far are We? Zhiming Li Yushi Cao Xiufeng Xu Junzhe Jiang Xu Liu Yon Shin Teo Shang-Wei Lin Yang Liu LRM 37 15 0 17 Jan 2024
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI Zishen Wan Che-Kai Liu Hanchen Yang Chaojian Li Haoran You Yonggan Fu Cheng Wan Tushar Krishna Yingyan Lin A. Raychowdhury AAML 33 19 0 02 Jan 2024
Assessing SATNet's Ability to Solve the Symbol Grounding Problem Oscar Chang Lampros Flokas Hod Lipson Michael Spranger NAI 23 17 0 13 Dec 2023
VALUED -- Vision and Logical Understanding Evaluation Dataset Soumadeep Saha Saptarshi Saha Utpal Garain 25 0 0 21 Nov 2023
Neural-Logic Human-Object Interaction Detection Liulei Li Jianan Wei Wenguan Wang Yi Yang 43 16 0 16 Nov 2023
Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks Parth Padalkar Gopal Gupta 24 3 0 19 Oct 2023
Integrating Symbolic Reasoning into Neural Generative Models for Design Generation Maxwell J. Jacobson Yexiang Xue NAI 35 1 0 13 Oct 2023
Scalable Semantic Non-Markovian Simulation Proxy for Reinforcement Learning Kaustuv Mukherji Devendra Parkar Lahari Pokala Dyuman Aditya Paulo Shakarian Clark Dorman 24 2 0 10 Oct 2023
Learning Reliable Logical Rules with SATNet Zhaoyu Li Jinpei Guo Yuhe Jiang Xujie Si LRM NAI 27 2 0 03 Oct 2023
Boolformer: Symbolic Regression of Logic Functions with Transformers Stéphane dÁscoli Samy Bengio Josh Susskind Emmanuel Abbe 19 5 0 21 Sep 2023
On the Aggregation of Rules for Knowledge Graph Completion Patrick Betz Stefan Lüdtke Christian Meilicke Heiner Stuckenschmidt 28 2 0 01 Sep 2023
Deep Inductive Logic Programming meets Reinforcement Learning Andreas Bueff Vaishak Belle AI4CE 19 4 0 30 Aug 2023
Learning MDL logic programs from noisy data Céline Hocquette Andreas Niskanen Matti Jarvisalo Andrew Cropper NoLa 33 6 0 18 Aug 2023
Learning logic programs by discovering higher-order abstractions Céline Hocquette Sebastijan Dumancic Andrew Cropper 19 2 0 16 Aug 2023
Efficient Learning of Discrete-Continuous Computation Graphs David Friede Mathias Niepert 13 3 0 26 Jul 2023