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2010.11926
Cited By
Neural-Symbolic Integration: A Compositional Perspective
22 October 2020
Efthymia Tsamoura
Loizos Michael
NAI
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Papers citing
"Neural-Symbolic Integration: A Compositional Perspective"
37 / 37 papers shown
Logic of Hypotheses: from Zero to Full Knowledge in Neurosymbolic Integration
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Alessandro Daniele
NAI
112
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Neuro-symbolic Weak Supervision: Theory and Semantics
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Vaishak Belle
NAI
189
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24 Mar 2025
Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation
AAAI Conference on Artificial Intelligence (AAAI), 2024
Jonghyuk Park
A. Lascarides
S. Ramamoorthy
224
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13 Dec 2024
Neuro-Symbolic AI: Explainability, Challenges, and Future Trends
Xin Zhang
Victor S. Sheng
AI4TS
278
21
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07 Nov 2024
Differentiable Logic Programming for Distant Supervision
European Conference on Artificial Intelligence (ECAI), 2024
A. Takemura
Katsumi Inoue
NAI
212
1
0
22 Aug 2024
Neural Reward Machines
European Conference on Artificial Intelligence (ECAI), 2024
Elena Umili
F. Argenziano
Roberto Capobianco
NAI
261
4
0
16 Aug 2024
Data-Efficient Learning with Neural Programs
Alaia Solko-Breslin
Seewon Choi
Ziyang Li
Neelay Velingker
Rajeev Alur
Mayur Naik
Eric Wong
232
8
0
10 Jun 2024
Generative learning for nonlinear dynamics
William Gilpin
AI4CE
PINN
297
44
0
07 Nov 2023
NeuralFastLAS: Fast Logic-Based Learning from Raw Data
Theo Charalambous
Yaniv Aspis
Alessandra Russo
84
1
0
08 Oct 2023
Learning Reliable Logical Rules with SATNet
Neural Information Processing Systems (NeurIPS), 2023
Zhaoyu Li
Jinpei Guo
Yuhe Jiang
Xujie Si
LRM
NAI
193
4
0
03 Oct 2023
Neuro-Symbolic Recommendation Model based on Logic Query
Knowledge-Based Systems (KBS), 2023
Maonian Wu
Bang-Chao Chen
Shaojun Zhu
Bo Zheng
Wei Peng
Mingyi Zhang
NAI
207
6
0
14 Sep 2023
Beyond Traditional Neural Networks: Toward adding Reasoning and Learning Capabilities through Computational Logic Techniques
International Conference on Logic Programming (ICLP), 2023
Andrea Rafanelli
NAI
147
1
0
30 Aug 2023
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
IEEE International Conference on Computer Vision (ICCV), 2023
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
NAI
224
47
0
24 Aug 2023
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
AAAI Conference on Artificial Intelligence (AAAI), 2023
Lue Tao
Yu-Xuan Huang
Wang-Zhou Dai
Yuan Jiang
289
5
0
21 Aug 2023
Efficient Learning of Discrete-Continuous Computation Graphs
Neural Information Processing Systems (NeurIPS), 2023
David Friede
Mathias Niepert
163
3
0
26 Jul 2023
Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs
L. Delong
Ramon Fernández Mir
Zonglin Ji
Fiona Niamh Coulter Smith
Jacques D. Fleuriot
197
2
0
17 Jul 2023
Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
International Conference on Learning Representations (ICLR), 2023
Zhun Yang
Adam Ishay
Joohyung Lee
350
17
0
10 Jul 2023
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators
International Conference on Machine Learning (ICML), 2023
Zhun Yang
Joohyung Lee
Chi-youn Park
191
26
0
10 Jul 2023
On Learning Latent Models with Multi-Instance Weak Supervision
Neural Information Processing Systems (NeurIPS), 2023
Kaifu Wang
Efi Tsamoura
Dan Roth
281
13
0
23 Jun 2023
Parallel Neurosymbolic Integration with Concordia
International Conference on Machine Learning (ICML), 2023
Jonathan Feldstein
Modestas Jurcius
Efthymia Tsamoura
NAI
238
3
0
01 Jun 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
L. Delong
Ramon Fernández Mir
Jacques D. Fleuriot
NAI
524
29
0
14 Feb 2023
Neural Feature-Adaptation for Symbolic Predictions Using Pre-Training and Semantic Loss
Vedant Shah
Aditya Agrawal
Lovekesh Vig
Harshvardhan Mestha
Gautam M. Shroff
T. Verlekar
AI4CE
247
0
0
29 Nov 2022
Differentiable Fuzzy
A
L
C
\mathcal{ALC}
A
LC
: A Neural-Symbolic Representation Language for Symbol Grounding
Xuan Wu
Xinhao Zhu
Yizheng Zhao
Xinyu Dai
FedML
AI4CE
198
2
0
22 Nov 2022
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories
Davide Buffelli
Efthymia Tsamoura
213
2
0
06 Sep 2022
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
International Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2022
Alessandro Daniele
Tommaso Campari
Sagar Malhotra
Luciano Serafini
NAI
295
24
0
24 Aug 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
A. Malinin
A. Athanasopoulos
M. Barakovic
Meritxell Bach Cuadra
Mark Gales
...
Francesco La Rosa
Eli Sivena
V. Tsarsitalidis
Efi Tsompopoulou
E. Volf
OOD
202
36
0
30 Jun 2022
Constraint Guided Gradient Descent: Guided Training with Inequality Constraints
The European Symposium on Artificial Neural Networks (ESANN), 2022
Quinten Van Baelen
P. Karsmakers
120
3
0
13 Jun 2022
Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review
Kyle Hamilton
Aparna Nayak
Bojan Bozic
Luca Longo
NAI
308
88
0
24 Feb 2022
Estimation & Recognition under Perspective of Random-Fuzzy Dual Interpretation of Unknown Quantity: with Demonstration of IMM Filter
Wei Mei
Yunfeng Xu
Limin Liu
195
1
0
20 Oct 2021
Deep Algorithmic Question Answering: Towards a Compositionally Hybrid AI for Algorithmic Reasoning
Kwwabena Nuamah
136
6
0
16 Sep 2021
From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey
Artificial Intelligence (AI), 2021
Giuseppe Marra
Sebastijan Dumancic
Robin Manhaeve
Luc de Raedt
NAI
405
95
0
25 Aug 2021
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Maxwell Nye
Michael Henry Tessler
J. Tenenbaum
Brenden M. Lake
262
139
0
06 Jul 2021
FF-NSL: Feed-Forward Neural-Symbolic Learner
Daniel Cunnington
Mark Law
A. Russo
Jorge Lobo
NAI
296
18
0
24 Jun 2021
DeepStochLog: Neural Stochastic Logic Programming
Thomas Winters
G. Marra
Robin Manhaeve
Luc de Raedt
BDL
NAI
258
74
0
23 Jun 2021
End-to-End Neuro-Symbolic Architecture for Image-to-Image Reasoning Tasks
Ananye Agarwal
P. Shenoy
Mausam
128
5
0
06 Jun 2021
Abduction and Argumentation for Explainable Machine Learning: A Position Survey
A. Kakas
Loizos Michael
79
12
0
24 Oct 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks
Machine-mediated learning (ML), 2020
Gustav Sourek
F. Železný
Ondrej Kuzelka
NAI
288
20
0
13 Jul 2020
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