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2003.08316
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From Statistical Relational to Neuro-Symbolic Artificial Intelligence
International Joint Conference on Artificial Intelligence (IJCAI), 2020
18 March 2020
Luc de Raedt
Sebastijan Dumancic
Robin Manhaeve
Giuseppe Marra
NAI
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Papers citing
"From Statistical Relational to Neuro-Symbolic Artificial Intelligence"
50 / 61 papers shown
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Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
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Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition
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Standard Neural Computation Alone Is Insufficient for Logical Intelligence
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Gertjan J. Burghouts
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371
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Can Large Language Models Reason? A Characterization via 3-SAT
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288
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Thomas Straub
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Open-World Visual Reasoning by a Neuro-Symbolic Program of Zero-Shot Symbols
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Fieke Hillerstrom
Erwin Walraven
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Frank Ruis
J. Sijs
Jelle van Mil
Judith Dijk
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330
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Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
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Lise Getoor
322
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Simple and Effective Transfer Learning for Neuro-Symbolic Integration
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Tommaso Campari
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Luciano Serafini
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Strong hallucinations from negation and how to fix them
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Swarnadeep Bhar
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261
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201
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Bang-Chao Chen
Shaojun Zhu
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Wei Peng
Mingyi Zhang
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229
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Beyond Traditional Neural Networks: Toward adding Reasoning and Learning Capabilities through Computational Logic Techniques
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Andrea Rafanelli
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165
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Neurosymbolic AI and its Taxonomy: a survey
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Leonardo Pereira
Fabio Grassiotto
Alexandre Osorio
Eder Gadioli
Amparo Munoz
Sildolfo Gomes
Claudio dos Santos
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364
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12 May 2023
Interpretable Multimodal Misinformation Detection with Logic Reasoning
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Hui Liu
Wenya Wang
Haoliang Li
243
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DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction
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Kshitij Goyal
Sebastijan Dumancic
Hendrik Blockeel
376
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02 Mar 2023
Semantic Strengthening of Neuro-Symbolic Learning
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Kai-Wei Chang
Karen Ullrich
442
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Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
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384
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Pascal Hitzler
Michael Sioutis
Md Kamruzzaman Sarker
Marjan Alirezaie
Aaron Eberhart
Stefan Wermter
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367
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Self-explaining deep models with logic rule reasoning
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Seungeon Lee
Xiting Wang
Sungwon Han
Xiaoyuan Yi
Xing Xie
M. Cha
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391
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Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning
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Wang-Zhou Dai
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Do Artificial Intelligence Systems Understand?
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Carlos Blanco
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Towards Semantic Communication Protocols: A Probabilistic Logic Perspective
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Jihong Park
Seung-Woo Ko
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M. Bennis
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190
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08 Jul 2022
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning
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Simone Martone
Francesco Manigrasso
Lamberti Fabrizio
Lia Morra
251
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26 Jun 2022
NeuPSL: Neural Probabilistic Soft Logic
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Connor Pryor
Charles Dickens
Eriq Augustine
Alon Albalak
William Wang
Lise Getoor
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378
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Neuro-Symbolic Learning of Answer Set Programs from Raw Data
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Mark Law
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684
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Neuro-Symbolic Verification of Deep Neural Networks
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Xuan Xie
Kristian Kersting
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G. Santos
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VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
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Emanuele Sansone
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A Critical Review of Inductive Logic Programming Techniques for Explainable AI
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