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1705.08968
Cited By
Logic Tensor Networks for Semantic Image Interpretation
24 May 2017
Ivan Donadello
Luciano Serafini
Artur Garcez
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Papers citing
"Logic Tensor Networks for Semantic Image Interpretation"
50 / 88 papers shown
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Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
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Emanuele Marconato
Paolo Morettin
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Stefano Teso
410
8
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16 Feb 2025
Understanding the Logic of Direct Preference Alignment through Logic
Kyle Richardson
Vivek Srikumar
Ashish Sabharwal
527
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Mihaela C. Stoian
Alex Tatomir
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260
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28 Feb 2024
Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery
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Tingsong Xiao
Wenchong He
Yu Wang
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188
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12 Dec 2023
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints
Kareem Ahmed
Kai-Wei Chang
Karen Ullrich
378
19
0
06 Dec 2023
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report]
AAAI Conference on Artificial Intelligence (AAAI), 2023
Hamed Ayoobi
Nico Potyka
Francesca Toni
172
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0
26 Nov 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning
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Emanuele Marconato
Baptiste Caramiaux
Stefano Teso
275
21
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14 Sep 2023
Adaptive User-centered Neuro-symbolic Learning for Multimodal Interaction with Autonomous Systems
Amr Gomaa
Michael Feld
159
2
0
11 Sep 2023
Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems
Amr Gomaa
Bilal Mahdy
Niko Kleer
Michael Feld
Frank Kirchner
Antonio Krüger
247
6
0
07 Jul 2023
Parallel Neurosymbolic Integration with Concordia
International Conference on Machine Learning (ICML), 2023
Jonathan Feldstein
Modestas Jurcius
Efthymia Tsamoura
NAI
225
3
0
01 Jun 2023
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels
Theory and Practice of Logic Programming (TPLP), 2023
Vito Barbara
M. Guarascio
Nicola Leone
Giuseppe Manco
A. Quarta
Francesco Ricca
Ettore Ritacco University of Calabria
156
7
0
17 May 2023
Neuro-symbolic model for cantilever beams damage detection
Darian M. Onchis
Gilbert-Rainer Gillich
Eduard Hogea
Cristian Tufiși
129
7
0
04 May 2023
Interval Logic Tensor Networks
Samy Badreddine
Gianluca Apriceno
Baptiste Caramiaux
Luciano Serafini
NAI
133
0
0
31 Mar 2023
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
International Conference on Machine Learning (ICML), 2023
Emanuele Marconato
G. Bontempo
E. Ficarra
Simone Calderara
Baptiste Caramiaux
Stefano Teso
NAI
LRM
CLL
248
29
0
02 Feb 2023
Knowledge-augmented Deep Learning and Its Applications: A Survey
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Zijun Cui
Tian Gao
Kartik Talamadupula
Qiang Ji
308
36
0
30 Nov 2022
Differentiable Fuzzy
A
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\mathcal{ALC}
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Xuan Wu
Xinhao Zhu
Yizheng Zhao
Xinyu Dai
FedML
AI4CE
194
2
0
22 Nov 2022
ROAD-R: The Autonomous Driving Dataset with Logical Requirements
Machine-mediated learning (ML), 2022
Eleonora Giunchiglia
Mihaela C. Stoian
Salman Khan
Fabio Cuzzolin
Thomas Lukasiewicz
AI4TS
307
43
0
04 Oct 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification
Knowledge-Based Systems (KBS), 2022
Adrien Bennetot
Gianni Franchi
Javier Del Ser
Raja Chatila
Natalia Díaz Rodríguez
AAML
226
32
0
26 Sep 2022
Scalable Regularization of Scene Graph Generation Models using Symbolic Theories
Davide Buffelli
Efthymia Tsamoura
202
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06 Sep 2022
Differentiable Inductive Logic Programming in High-Dimensional Space
Stanislaw J. Purgal
David M. Cerna
C. Kaliszyk
186
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13 Aug 2022
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Muhammad Hassan
Haifei Guan
Aikaterini Melliou
Yuqi Wang
Qianhui Sun
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Qi Huang
Jiefu Tan
Qinwang Xing
Peiwu Qin
Dongmei Yu
NAI
261
19
0
31 Jul 2022
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning
International Conference on Pattern Recognition (ICPR), 2022
Simone Martone
Francesco Manigrasso
Lamberti Fabrizio
Lia Morra
224
6
0
26 Jun 2022
Deep Learning with Logical Constraints
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Eleonora Giunchiglia
Mihaela C. Stoian
Thomas Lukasiewicz
NAI
AI4CE
240
75
0
01 May 2022
Neuro-Symbolic Entropy Regularization
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Kareem Ahmed
Eric Wang
Kai-Wei Chang
Karen Ullrich
241
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0
25 Jan 2022
Can Machines Generate Personalized Music? A Hybrid Favorite-aware Method for User Preference Music Transfer
IEEE transactions on multimedia (IEEE TMM), 2022
Zhejing Hu
Yan Liu
Gong Chen
Yongxu Liu
MGen
196
9
0
21 Jan 2022
Enabling Verification of Deep Neural Networks in Perception Tasks Using Fuzzy Logic and Concept Embeddings
Gesina Schwalbe
J. Dietrich
Ute Schmid
AAML
121
9
0
03 Jan 2022
Neuro-Symbolic Hierarchical Rule Induction
International Conference on Machine Learning (ICML), 2021
Claire Glanois
Xuening Feng
Zhaohui Jiang
Paul Weng
Matthieu Zimmer
Dong Li
Wulong Liu
NAI
189
32
0
26 Dec 2021
A Survey on Interpretable Reinforcement Learning
Machine-mediated learning (ML), 2021
Claire Glanois
Paul Weng
Matthieu Zimmer
Dong Li
Zhenxing Ge
Jianye Hao
Wulong Liu
OffRL
330
146
0
24 Dec 2021
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2021
Prithviraj Sen
B. W. Carvalho
Ryan Riegel
Alexander G. Gray
NAI
AI4CE
252
75
0
06 Dec 2021
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection
Jinyung Hong
Theodore P. Pavlic
223
3
0
20 Nov 2021
A Survey on Neural-symbolic Learning Systems
Neural Networks (NN), 2021
Dongran Yu
Bo Yang
Da Liu
Hui Wang
Shirui Pan
367
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0
10 Nov 2021
DeepPSL: End-to-end perception and reasoning
Sridhar Dasaratha
Sai Akhil Puranam
Karmvir Singh Phogat
Sunil R. Tiyyagura
Nigel P. Duffy
BDL
ReLM
LRM
342
3
0
28 Sep 2021
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning
Jinyung Hong
Theodore P. Pavlic
198
6
0
11 Sep 2021
From LSAT: The Progress and Challenges of Complex Reasoning
Siyuan Wang
Zhongkun Liu
Wanjun Zhong
Ming Zhou
Zhongyu Wei
Zhumin Chen
Nan Duan
ELM
204
56
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02 Aug 2021
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture
Francesco Manigrasso
Filomeno Davide Miro
Lia Morra
Fabrizio Lamberti
ObjD
167
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05 Jul 2021
FF-NSL: Feed-Forward Neural-Symbolic Learner
Daniel Cunnington
Mark Law
A. Russo
Jorge Lobo
NAI
290
18
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24 Jun 2021
DeepStochLog: Neural Stochastic Logic Programming
Thomas Winters
G. Marra
Robin Manhaeve
Luc de Raedt
BDL
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250
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23 Jun 2021
Faster than LASER -- Towards Stream Reasoning with Deep Neural Networks
João Ferreira
Diogo Mateus Lavado
Ricardo Gonccalves
Matthias Knorr
L. Krippahl
João Leite
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GNN
190
0
0
15 Jun 2021
Relational Reasoning Networks
Knowledge-Based Systems (KBS), 2021
G. Marra
Michelangelo Diligenti
Francesco Giannini
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339
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01 Jun 2021
Expressive Explanations of DNNs by Combining Concept Analysis with ILP
Deutsche Jahrestagung für Künstliche Intelligenz (KI), 2020
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Gesina Schwalbe
Ute Schmid
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A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts
Data mining and knowledge discovery (DMKD), 2021
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Bettina Finzel
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443
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15 May 2021
Neuro-Symbolic Artificial Intelligence: Current Trends
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Lu Zhou
Aaron Eberhart
Pascal Hitzler
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273
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EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
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Natalia Díaz Rodríguez
Alberto Lamas
Jules Sanchez
Gianni Franchi
Ivan Donadello
Siham Tabik
David Filliat
P. Cruz
Rosana Montes
Francisco Herrera
295
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24 Apr 2021
Neuro-Symbolic Constraint Programming for Structured Prediction
International Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2021
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Stefano Teso
Baptiste Caramiaux
193
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Multi-Label Classification Neural Networks with Hard Logical Constraints
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Thomas Lukasiewicz
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0
24 Mar 2021
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction
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Eric Wang
Karen Ullrich
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191
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20 Mar 2021
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs
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Marcel Hildebrandt
Mitchell Joblin
Martin Ringsquandl
Rime Raissouni
Volker Tresp
164
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18 Mar 2021
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases
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F. V. Harmelen
André Meyer-Vitali
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![ProtoArgNet: Interpretable Image Classification with Super-Prototypes
and Argumentation [Technical Report]](https://cdn.parameterlab.de/resized-images/aHR0cHM6Ly9jZG4ucGFyYW1ldGVybGFiLmRlL3BhcGVycy8yMzExLjE1NDM4L3BhZ2VzL3BhZ2UtMS1xODBkMzAwLmpwZw?w=256&q=75&f=webp)
