Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning

15 May 2019

Papers citing "Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning"

47 / 47 papers shown

Title
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods Danial Hooshyar Eve Kikas Yeongwook Yang Gustav Šír Raija Hamalainen T. Karkkainen Roger Azevedo 59 1 0 01 Apr 2025
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction Leander Kurscheidt Paolo Morettin Roberto Sebastiani Andrea Passerini Antonio Vergari 57 0 0 25 Mar 2025
Combinatorial Optimization via LLM-driven Iterated Fine-tuning Pranjal Awasthi Sreenivas Gollapudi Ravi Kumar Kamesh Munagala 68 0 0 10 Mar 2025
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
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning Charles Dickens Changyu Gao Connor Pryor Stephen J. Wright Lise Getoor 40 3 0 17 Jan 2024
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators Zhun Yang Joohyung Lee Chi-youn Park 22 19 0 10 Jul 2023
Scalable Neural-Probabilistic Answer Set Programming Arseny Skryagin Daniel Ochs Devendra Singh Dhami Kristian Kersting 35 5 0 14 Jun 2023
ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation Extraction Trung Hoang Le H. Cao Tran Cao Son 30 1 0 24 May 2023
Logic of Differentiable Logics: Towards a Uniform Semantics of DL Natalia Slusarz Ekaterina Komendantskaya M. Daggitt Rob Stewart Kathrin Stark 31 17 0 19 Mar 2023
Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search Wenqing Zheng S. Sharan Zhiwen Fan Kevin Wang Yihan Xi Zhangyang Wang 58 9 0 30 Dec 2022
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 41 1 0 22 Nov 2022
DEPTWEET: A Typology for Social Media Texts to Detect Depression Severities Mohsinul Kabir Tasnim Ahmed Md. Bakhtiar Hasan Md Tahmid Rahman Laskar Tarun Kumar Joarder H. Mahmud Kamrul Hasan 14 45 0 10 Oct 2022
ChemAlgebra: Algebraic Reasoning on Chemical Reactions Andrea Valenti D. Bacciu Antonio Vergari OOD LRM 35 0 0 05 Oct 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 32 29 0 26 Sep 2022
Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning Haoyuan He Wang-Zhou Dai Ming Li AI4CE 34 2 0 14 Aug 2022
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology Muhammad Hassan Haifei Guan Aikaterini Melliou Yuqi Wang Qianhui Sun ... Qi Huang Jiefu Tan Qinwang Xing Peiwu Qin Dongmei Yu NAI 44 14 0 31 Jul 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 26 62 0 29 Jul 2022
NeuPSL: Neural Probabilistic Soft Logic Connor Pryor Charles Dickens Eriq Augustine Alon Albalak William Wang Lise Getoor NAI 19 33 0 27 May 2022
An Algebraic Approach to Learning and Grounding Johanna Björklund Adam Dahlgren Lindström F. Drewes 24 0 0 06 Apr 2022
Neuro-Symbolic Verification of Deep Neural Networks Xuan Xie Kristian Kersting Daniel Neider AAML NAI 27 15 0 02 Mar 2022
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review Kyle Hamilton Aparna Nayak Bojan Bozic Luca Longo NAI 29 57 0 24 Feb 2022
HAKE: A Knowledge Engine Foundation for Human Activity Understanding Yong-Lu Li Xinpeng Liu Xiaoqian Wu Yizhuo Li Zuoyu Qiu Liang Xu Yue Xu Haoshu Fang Cewu Lu 32 38 0 14 Feb 2022
Knowledge-Integrated Informed AI for National Security Anu Myne Kevin J. Leahy Ryan Soklaski 21 0 0 04 Feb 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges Denis Kleyko D. Rachkovskij Evgeny Osipov A. Rahim 24 126 0 12 Nov 2021
Neuro-Symbolic Forward Reasoning Hikaru Shindo Devendra Singh Dhami Kristian Kersting NAI LRM 35 22 0 18 Oct 2021
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming Arseny Skryagin Wolfgang Stammer Daniel Ochs Devendra Singh Dhami Kristian Kersting NAI 33 6 0 07 Oct 2021
Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems Subbarao Kambhampati S. Sreedharan Mudit Verma Yantian Zha L. Guan 52 47 0 21 Sep 2021
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture Francesco Manigrasso Filomeno Davide Miro Lia Morra Fabrizio Lamberti ObjD 26 14 0 05 Jul 2021
Solving Machine Learning Problems Sunny Tran P. Krishna Ishan Pakuwal Prabhakar Kafle Nikhil Singh J. Lynch Iddo Drori VLM 21 11 0 02 Jul 2021
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming Duo Xu Faramarz Fekri 18 10 0 21 Jun 2021
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text Siyuan Wang Wanjun Zhong Duyu Tang Zhongyu Wei Zhihao Fan Daxin Jiang Ming Zhou Nan Duan NAI 31 70 0 08 May 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello Siham Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 49 77 0 24 Apr 2021
A conditional, a fuzzy and a probabilistic interpretation of self-organising maps Laura Giordano Valentina Gliozzi Daniele Theseider Dupré AI4CE 40 23 0 11 Mar 2021
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors Mohammadhossein Bahari Ismail Nejjar Alexandre Alahi 28 49 0 08 Mar 2021
Differentiable Inductive Logic Programming for Structured Examples Hikaru Shindo Masaaki Nishino Akihiro Yamamoto NAI 43 29 0 02 Mar 2021
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases M. V. Bekkum M. D. Boer F. V. Harmelen André Meyer-Vitali A. T. Teije 28 68 0 23 Feb 2021
Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model Laura Giordano Daniele Theseider Dupré 36 35 0 24 Dec 2020
Neurosymbolic AI: The 3rd Wave Artur Garcez Luís C. Lamb NAI 65 292 0 10 Dec 2020
Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations Wolfgang Stammer P. Schramowski Kristian Kersting FAtt 14 107 0 25 Nov 2020
Deep Learning for Abstract Argumentation Semantics Dennis Craandijk Floris Bex SSeg 24 30 0 15 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI 41 17 0 13 Jul 2020
Symbolic Logic meets Machine Learning: A Brief Survey in Infinite Domains Vaishak Belle NAI LRM 18 36 0 15 Jun 2020
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks Karan Sikka Andrew Silberfarb John Byrnes Indranil Sur Edmond Chow Ajay Divakaran R. Rohwer NAI 16 11 0 16 Mar 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,111 0 22 Oct 2019
Self-organized inductive reasoning with NeMuS L. Barreto E. Mota NAI LRM 24 2 0 16 Jun 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 34 626 0 29 Mar 2019
Logic Tensor Networks for Semantic Image Interpretation Ivan Donadello Luciano Serafini Artur Garcez 62 209 0 24 May 2017