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From Statistical Relational to Neuro-Symbolic Artificial Intelligence
v1v2 (latest)

From Statistical Relational to Neuro-Symbolic Artificial Intelligence

18 March 2020
Luc de Raedt
Sebastijan Dumancic
Robin Manhaeve
Giuseppe Marra
    NAI
ArXiv (abs)PDFHTML

Papers citing "From Statistical Relational to Neuro-Symbolic Artificial Intelligence"

50 / 52 papers shown
Title
TRIDENT: Temporally Restricted Inference via DFA-Enhanced Neural Traversal
TRIDENT: Temporally Restricted Inference via DFA-Enhanced Neural Traversal
Vincenzo Collura
Karim Tit
Laura Bussi
Eleonora Giunchiglia
Maxime Cordy
49
0
0
11 Jun 2025
Taxonomic Networks: A Representation for Neuro-Symbolic Pairing
Taxonomic Networks: A Representation for Neuro-Symbolic Pairing
Zekun Wang
Ethan L. Haarer
Nicki Barari
Christopher MacLellan
15
0
0
30 May 2025
Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition
Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition
Rishi Hazra
Gabriele Venturato
Pedro Zuidberg Dos Martires
Luc de Raedt
ReLMLRM
104
2
0
04 Apr 2025
A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives
A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives
Delower Hossain
Jake Y Chen
NAI
85
1
0
23 Mar 2025
Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
Mihaela C. Stoian
Eleonora Giunchiglia
122
3
0
25 Feb 2025
Standard Neural Computation Alone Is Insufficient for Logical Intelligence
Standard Neural Computation Alone Is Insufficient for Logical Intelligence
Youngsung Kim
NAI
112
0
0
04 Feb 2025
Towards Probabilistic Inductive Logic Programming with Neurosymbolic
  Inference and Relaxation
Towards Probabilistic Inductive Logic Programming with Neurosymbolic Inference and Relaxation
Fieke Hillerstrom
Gertjan J. Burghouts
NAI
47
1
0
21 Aug 2024
Can Large Language Models Reason? A Characterization via 3-SAT
Can Large Language Models Reason? A Characterization via 3-SAT
Rishi Hazra
Gabriele Venturato
Pedro Zuidberg Dos Martires
Luc de Raedt
ELMReLMLRM
71
6
0
13 Aug 2024
MaterioMiner -- An ontology-based text mining dataset for extraction of
  process-structure-property entities
MaterioMiner -- An ontology-based text mining dataset for extraction of process-structure-property entities
Ali Riza Durmaz
Akhil Thomas
Lokesh Mishra
Rachana Niranjan Murthy
Thomas Straub
65
1
0
05 Aug 2024
Open-World Visual Reasoning by a Neuro-Symbolic Program of Zero-Shot
  Symbols
Open-World Visual Reasoning by a Neuro-Symbolic Program of Zero-Shot Symbols
Gertjan J. Burghouts
Fieke Hillerstrom
Erwin Walraven
M. V. Bekkum
Frank Ruis
J. Sijs
Jelle van Mil
Judith Dijk
NAI
66
1
0
18 Jul 2024
Using Domain Knowledge to Guide Dialog Structure Induction via Neural
  Probabilistic Soft Logic
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
95
2
0
26 Mar 2024
Strong hallucinations from negation and how to fix them
Strong hallucinations from negation and how to fix them
Nicholas Asher
Swarnadeep Bhar
ReLMLRM
54
5
0
16 Feb 2024
Savvy: Trustworthy Autonomous Vehicles Architecture
Savvy: Trustworthy Autonomous Vehicles Architecture
Ali Shoker
Rehana Yasmin
Paulo Esteves-Verissimo
69
0
0
08 Feb 2024
Convex and Bilevel Optimization for Neuro-Symbolic Inference and
  Learning
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
Charles Dickens
Changyu Gao
Connor Pryor
Stephen J. Wright
Lise Getoor
113
3
0
17 Jan 2024
Neural Markov Prolog
Neural Markov Prolog
Alexander Thomson
David Page
30
0
0
27 Nov 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for
  Human-interpretable Representation Learning
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning
Emanuele Marconato
Andrea Passerini
Stefano Teso
95
17
0
14 Sep 2023
Neuro-Symbolic Recommendation Model based on Logic Query
Neuro-Symbolic Recommendation Model based on Logic Query
Maonian Wu
Bang-Chao Chen
Shaojun Zhu
Bo Zheng
Wei Peng
Mingyi Zhang
NAI
104
3
0
14 Sep 2023
Beyond Traditional Neural Networks: Toward adding Reasoning and Learning
  Capabilities through Computational Logic Techniques
Beyond Traditional Neural Networks: Toward adding Reasoning and Learning Capabilities through Computational Logic Techniques
Andrea Rafanelli
NAI
63
0
0
30 Aug 2023
Neurosymbolic AI and its Taxonomy: a survey
Neurosymbolic AI and its Taxonomy: a survey
Wandemberg Gibaut
Leonardo Pereira
Fabio Grassiotto
Alexandre Osorio
Eder Gadioli
Amparo Munoz
Sildolfo Gomes
Claudio dos Santos
NAIAI4CE
43
6
0
12 May 2023
Interpretable Multimodal Misinformation Detection with Logic Reasoning
Interpretable Multimodal Misinformation Detection with Logic Reasoning
Hui Liu
Wenya Wang
Haoliang Li
68
24
0
10 May 2023
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint
  Satisfaction
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction
Kshitij Goyal
Sebastijan Dumancic
Hendrik Blockeel
81
2
0
02 Mar 2023
Semantic Strengthening of Neuro-Symbolic Learning
Semantic Strengthening of Neuro-Symbolic Learning
Kareem Ahmed
Kai-Wei Chang
Guy Van den Broeck
98
13
0
28 Feb 2023
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Liang Zhao
76
42
0
07 Dec 2022
Neuro-Symbolic Spatio-Temporal Reasoning
Neuro-Symbolic Spatio-Temporal Reasoning
Pascal Hitzler
Michael Sioutis
Md Kamruzzaman Sarker
Marjan Alirezaie
Aaron Eberhart
Stefan Wermter
NAI
76
0
0
28 Nov 2022
Self-explaining deep models with logic rule reasoning
Self-explaining deep models with logic rule reasoning
Seungeon Lee
Xiting Wang
Sungwon Han
Xiaoyuan Yi
Xing Xie
M. Cha
NAIReLMLRM
87
17
0
13 Oct 2022
Do Artificial Intelligence Systems Understand?
Do Artificial Intelligence Systems Understand?
Eduardo C. Garrido-Merchán
Carlos Blanco
110
6
0
22 Jul 2022
Towards Semantic Communication Protocols: A Probabilistic Logic
  Perspective
Towards Semantic Communication Protocols: A Probabilistic Logic Perspective
Sejin Seo
Jihong Park
Seung-Woo Ko
Jinho Choi
M. Bennis
Seong-Lyun Kim
77
23
0
08 Jul 2022
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning
Simone Martone
Francesco Manigrasso
Lamberti Fabrizio
Lia Morra
67
4
0
26 Jun 2022
NeuPSL: Neural Probabilistic Soft Logic
NeuPSL: Neural Probabilistic Soft Logic
Connor Pryor
Charles Dickens
Eriq Augustine
Alon Albalak
William Wang
Lise Getoor
NAI
91
34
0
27 May 2022
Neuro-Symbolic Learning of Answer Set Programs from Raw Data
Neuro-Symbolic Learning of Answer Set Programs from Raw Data
Daniel Cunnington
Mark Law
Jorge Lobo
Alessandra Russo
NAI
102
8
0
25 May 2022
Neuro-Symbolic Verification of Deep Neural Networks
Neuro-Symbolic Verification of Deep Neural Networks
Xuan Xie
Kristian Kersting
Daniel Neider
AAMLNAI
69
16
0
02 Mar 2022
Strategy Synthesis for Zero-Sum Neuro-Symbolic Concurrent Stochastic
  Games
Strategy Synthesis for Zero-Sum Neuro-Symbolic Concurrent Stochastic Games
Rui Yan
G. Santos
G. Norman
David Parker
Marta Kwiatkowska
32
9
0
13 Feb 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic
  Programming
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
Eleonora Misino
G. Marra
Emanuele Sansone
67
26
0
07 Feb 2022
Tractable Boolean and Arithmetic Circuits
Tractable Boolean and Arithmetic Circuits
Adnan Darwiche
TPM
78
13
0
07 Feb 2022
Neuro-Symbolic Entropy Regularization
Neuro-Symbolic Entropy Regularization
Kareem Ahmed
Eric Wang
Kai-Wei Chang
Guy Van den Broeck
109
23
0
25 Jan 2022
A Critical Review of Inductive Logic Programming Techniques for
  Explainable AI
A Critical Review of Inductive Logic Programming Techniques for Explainable AI
Zheng Zhang
Liangliang Xu
L. Yilmaz
Bo Liu
48
10
0
31 Dec 2021
Relational Neural Markov Random Fields
Relational Neural Markov Random Fields
Yuqiao Chen
Sriraam Natarajan
Nicholas Ruozzi
BDL
114
0
0
18 Oct 2021
DeepPSL: End-to-end perception and reasoning
DeepPSL: End-to-end perception and reasoning
Sridhar Dasaratha
Sai Akhil Puranam
Karmvir Singh Phogat
Sunil R. Tiyyagura
Nigel P. Duffy
BDLReLMLRM
98
3
0
28 Sep 2021
Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic
  Touch
Natlog: a Lightweight Logic Programming Language with a Neuro-symbolic Touch
Paul Tarau
NAI
33
9
0
17 Sep 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep
  Neural Networks
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks
T. Dash
Sharad Chitlangia
Aditya Ahuja
A. Srinivasan
110
133
0
21 Jul 2021
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture
Francesco Manigrasso
Filomeno Davide Miro
Lia Morra
Fabrizio Lamberti
ObjD
64
14
0
05 Jul 2021
DeepStochLog: Neural Stochastic Logic Programming
DeepStochLog: Neural Stochastic Logic Programming
Thomas Winters
G. Marra
Robin Manhaeve
Luc de Raedt
BDLNAI
83
64
0
23 Jun 2021
Neuro-Symbolic Constraint Programming for Structured Prediction
Neuro-Symbolic Constraint Programming for Structured Prediction
Paolo Dragone
Stefano Teso
Andrea Passerini
76
18
0
31 Mar 2021
Differentiable Inductive Logic Programming for Structured Examples
Differentiable Inductive Logic Programming for Structured Examples
Hikaru Shindo
Masaaki Nishino
Akihiro Yamamoto
NAI
91
32
0
02 Mar 2021
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a
  taxonomy, patterns and use cases
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
72
74
0
23 Feb 2021
Differentiable Logic Machines
Differentiable Logic Machines
Matthieu Zimmer
Xuening Feng
Claire Glanois
Zhaohui Jiang
Jianyi Zhang
Paul Weng
Li Dong
Hao Jianye
Liu Wulong
AI4CE
81
23
0
23 Feb 2021
Logic Tensor Networks
Logic Tensor Networks
Samy Badreddine
Artur Garcez
Luciano Serafini
Michael Spranger
NAI
178
212
0
25 Dec 2020
Neurosymbolic AI: The 3rd Wave
Neurosymbolic AI: The 3rd Wave
Artur Garcez
Luís C. Lamb
NAI
109
315
0
10 Dec 2020
Abductive Knowledge Induction From Raw Data
Abductive Knowledge Induction From Raw Data
Wang-Zhou Dai
Stephen Muggleton
85
49
0
07 Oct 2020
Understanding Boolean Function Learnability on Deep Neural Networks: PAC
  Learning Meets Neurosymbolic Models
Understanding Boolean Function Learnability on Deep Neural Networks: PAC Learning Meets Neurosymbolic Models
Márcio Nicolau
Anderson R. Tavares
Zhiwei Zhang
Pedro H. C. Avelar
J. Flach
Luís C. Lamb
Moshe Y. Vardi
NAI
70
2
0
13 Sep 2020
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