ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2307.07700
  4. Cited By
NeurASP: Embracing Neural Networks into Answer Set Programming

NeurASP: Embracing Neural Networks into Answer Set Programming

15 July 2023
Zhun Yang
Adam Ishay
Joohyung Lee
    NAI
ArXivPDFHTML

Papers citing "NeurASP: Embracing Neural Networks into Answer Set Programming"

29 / 29 papers shown
Title
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
Samuele Bortolotti
Emanuele Marconato
Paolo Morettin
Andrea Passerini
Stefano Teso
61
2
0
16 Feb 2025
Visual Graph Question Answering with ASP and LLMs for Language Parsing
Visual Graph Question Answering with ASP and LLMs for Language Parsing
Jakob Johannes Bauer
Thomas Eiter
Nelson Higuera Ruiz
J. Oetsch
GNN
64
0
0
13 Feb 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang
Kaiyi Ji
Junyi Geng
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Y. Yang
Xiao Lin
Zhipeng Zhao
SSL
80
9
0
28 Jan 2025
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
Bowen Li
Zhaoyu Li
Qiwei Du
Jinqi Luo
Wenshan Wang
...
Katia P. Sycara
Pradeep Kumar Ravikumar
Alexander G. Gray
X. Si
Sebastian A. Scherer
AI4CE
LRM
81
3
0
01 Nov 2024
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning
Dolphin: A Programmable Framework for Scalable Neurosymbolic Learning
Aaditya Naik
Jason Liu
Claire Wang
Saikat Dutta
Mayur Naik
Mayur Naik
Eric Wong
26
1
0
04 Oct 2024
On the Independence Assumption in Neurosymbolic Learning
On the Independence Assumption in Neurosymbolic Learning
Emile van Krieken
Pasquale Minervini
E. Ponti
Antonio Vergari
48
10
0
12 Apr 2024
Simple and Effective Transfer Learning for Neuro-Symbolic Integration
Simple and Effective Transfer Learning for Neuro-Symbolic Integration
Alessandro Daniele
Tommaso Campari
Sagar Malhotra
Luciano Serafini
27
1
0
21 Feb 2024
Semirings for Probabilistic and Neuro-Symbolic Logic Programming
Semirings for Probabilistic and Neuro-Symbolic Logic Programming
Vincent Derkinderen
Robin Manhaeve
Pedro Zuidberg Dos Martires
Luc de Raedt
NAI
27
5
0
21 Feb 2024
Using Logic Programming and Kernel-Grouping for Improving
  Interpretability of Convolutional Neural Networks
Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks
Parth Padalkar
Gopal Gupta
19
3
0
19 Oct 2023
Learning Reliable Logical Rules with SATNet
Learning Reliable Logical Rules with SATNet
Zhaoyu Li
Jinpei Guo
Yuhe Jiang
Xujie Si
LRM
NAI
27
2
0
03 Oct 2023
A Novel Neural-symbolic System under Statistical Relational Learning
A Novel Neural-symbolic System under Statistical Relational Learning
Dongran Yu
Xueyan Liu
Shirui Pan
Anchen Li
Bo Yang
AI4CE
NAI
14
1
0
16 Sep 2023
dPASP: A Comprehensive Differentiable Probabilistic Answer Set
  Programming Environment For Neurosymbolic Learning and Reasoning
dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning
Renato Lui Geh
J. Gonçcalves
I. Silveira
Denis Deratani Mauá
Fabio Gagliardi Cozman
BDL
8
4
0
05 Aug 2023
Learning to Solve Constraint Satisfaction Problems with Recurrent
  Transformer
Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
Zhun Yang
Adam Ishay
Joohyung Lee
29
9
0
10 Jul 2023
Injecting Logical Constraints into Neural Networks via Straight-Through
  Estimators
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators
Zhun Yang
Joohyung Lee
Chi-youn Park
19
18
0
10 Jul 2023
Learning Differentiable Logic Programs for Abstract Visual Reasoning
Learning Differentiable Logic Programs for Abstract Visual Reasoning
Hikaru Shindo
Viktor Pfanschilling
D. Dhami
Kristian Kersting
NAI
29
6
0
03 Jul 2023
Scalable Neural-Probabilistic Answer Set Programming
Scalable Neural-Probabilistic Answer Set Programming
Arseny Skryagin
Daniel Ochs
D. Dhami
Kristian Kersting
32
5
0
14 Jun 2023
Towards end-to-end ASP computation
Towards end-to-end ASP computation
Taisuke Sato
A. Takemura
Katsumi Inoue
14
2
0
12 Jun 2023
ASPER: Answer Set Programming Enhanced Neural Network Models for Joint
  Entity-Relation Extraction
ASPER: Answer Set Programming Enhanced Neural Network Models for Joint Entity-Relation Extraction
Trung Hoang Le
H. Cao
Tran Cao Son
23
1
0
24 May 2023
Extensions to Generalized Annotated Logic and an Equivalent Neural
  Architecture
Extensions to Generalized Annotated Logic and an Equivalent Neural Architecture
Paulo Shakarian
Gerardo I. Simari
NAI
29
4
0
23 Feb 2023
A Scalable Technique for Weak-Supervised Learning with Domain
  Constraints
A Scalable Technique for Weak-Supervised Learning with Domain Constraints
Sudhir Agarwal
A. Sreepathy
Lalla Mouatadid
13
0
0
12 Jan 2023
NeuPSL: Neural Probabilistic Soft Logic
NeuPSL: Neural Probabilistic Soft Logic
Connor Pryor
Charles Dickens
Eriq Augustine
Alon Albalak
William Wang
Lise Getoor
NAI
6
33
0
27 May 2022
Efficient Knowledge Compilation Beyond Weighted Model Counting
Efficient Knowledge Compilation Beyond Weighted Model Counting
Rafael Kiesel
Pietro Totis
Angelika Kimmig
27
7
0
16 May 2022
Neuro-Symbolic Forward Reasoning
Neuro-Symbolic Forward Reasoning
Hikaru Shindo
D. Dhami
Kristian Kersting
NAI
LRM
30
22
0
18 Oct 2021
SLASH: Embracing Probabilistic Circuits into Neural Answer Set
  Programming
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming
Arseny Skryagin
Wolfgang Stammer
Daniel Ochs
D. Dhami
Kristian Kersting
NAI
33
6
0
07 Oct 2021
Target Languages (vs. Inductive Biases) for Learning to Act and Plan
Target Languages (vs. Inductive Biases) for Learning to Act and Plan
Hector Geffner
36
6
0
15 Sep 2021
DeepStochLog: Neural Stochastic Logic Programming
DeepStochLog: Neural Stochastic Logic Programming
Thomas Winters
G. Marra
Robin Manhaeve
Luc de Raedt
BDL
NAI
19
61
0
23 Jun 2021
A conditional, a fuzzy and a probabilistic interpretation of
  self-organising maps
A conditional, a fuzzy and a probabilistic interpretation of self-organising maps
Laura Giordano
Valentina Gliozzi
Daniele Theseider Dupré
AI4CE
37
23
0
11 Mar 2021
Weighted defeasible knowledge bases and a multipreference semantics for
  a deep neural network model
Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model
Laura Giordano
Daniele Theseider Dupré
30
35
0
24 Dec 2020
Logic Tensor Networks for Semantic Image Interpretation
Logic Tensor Networks for Semantic Image Interpretation
Ivan Donadello
Luciano Serafini
Artur Garcez
56
209
0
24 May 2017
1