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NeuPSL: Neural Probabilistic Soft Logic

NeuPSL: Neural Probabilistic Soft Logic

27 May 2022
Connor Pryor
Charles Dickens
Eriq Augustine
Alon Albalak
William Wang
Lise Getoor
    NAI
ArXivPDFHTML

Papers citing "NeuPSL: Neural Probabilistic Soft Logic"

23 / 23 papers shown
Title
Noise to the Rescue: Escaping Local Minima in Neurosymbolic Local Search
Alessandro Daniele
Emile van Krieken
65
0
0
03 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
89
2
0
25 Feb 2025
TL-PCA: Transfer Learning of Principal Component Analysis
TL-PCA: Transfer Learning of Principal Component Analysis
Sharon Hendy
Yehuda Dar
161
1
0
14 Oct 2024
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to
  Hardware Architecture
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture
Zishen Wan
Che-Kai Liu
Hanchen Yang
Ritik Raj
Chaojian Li
...
Yingyan Celine Lin
Mohamed Ibrahim
Jan M. Rabaey
Tushar Krishna
A. Raychowdhury
44
8
0
20 Sep 2024
On the use of neurosymbolic AI for defending against cyber attacks
On the use of neurosymbolic AI for defending against cyber attacks
G. Grov
Jonas Halvorsen
Magnus Wiik Eckhoff
Bjørn Jervell Hansen
Martin Eian
Vasileios Mavroeidis
AAML
NAI
35
0
0
09 Aug 2024
ULLER: A Unified Language for Learning and Reasoning
ULLER: A Unified Language for Learning and Reasoning
Emile van Krieken
Samy Badreddine
Robin Manhaeve
Eleonora Giunchiglia
NAI
32
3
0
01 May 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
11
0
12 Apr 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
29
1
0
26 Mar 2024
Softened Symbol Grounding for Neuro-symbolic Systems
Softened Symbol Grounding for Neuro-symbolic Systems
Zenan Li
Yuan Yao
Taolue Chen
Jingwei Xu
Chun Cao
Xiaoxing Ma
Jian Lu
NAI
21
14
0
01 Mar 2024
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts
Emanuele Marconato
Samuele Bortolotti
Emile van Krieken
Antonio Vergari
Andrea Passerini
Stefano Teso
41
19
0
19 Feb 2024
The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning
The Role of Foundation Models in Neuro-Symbolic Learning and Reasoning
Daniel Cunnington
Mark Law
Jorge Lobo
Alessandra Russo
NAI
34
7
0
02 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
37
3
0
17 Jan 2024
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic
  AI
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI
Zishen Wan
Che-Kai Liu
Hanchen Yang
Chaojian Li
Haoran You
Yonggan Fu
Cheng Wan
Tushar Krishna
Yingyan Lin
A. Raychowdhury
AAML
30
19
0
02 Jan 2024
A Survey of Reasoning with Foundation Models
A Survey of Reasoning with Foundation Models
Jiankai Sun
Chuanyang Zheng
E. Xie
Zhengying Liu
Ruihang Chu
...
Xipeng Qiu
Yi-Chen Guo
Hui Xiong
Qun Liu
Zhenguo Li
ReLM
LRM
AI4CE
24
76
0
17 Dec 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
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and
  Mitigation of Reasoning Shortcuts
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
Emanuele Marconato
Stefano Teso
Antonio Vergari
Andrea Passerini
38
30
0
31 May 2023
Logical Entity Representation in Knowledge-Graphs for Differentiable
  Rule Learning
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
Chi Han
Qizheng He
Charles Yu
Xinya Du
Hanghang Tong
Heng Ji
29
13
0
22 May 2023
Logic-LM: Empowering Large Language Models with Symbolic Solvers for
  Faithful Logical Reasoning
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning
Liangming Pan
Alon Albalak
Xinyi Wang
William Yang Wang
ReLM
LRM
AI4CE
49
232
0
20 May 2023
Semantic Strengthening of Neuro-Symbolic Learning
Semantic Strengthening of Neuro-Symbolic Learning
Kareem Ahmed
Kai-Wei Chang
Guy Van den Broeck
11
12
0
28 Feb 2023
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic
  Inference
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
Emile van Krieken
Thiviyan Thanapalasingam
Jakub M. Tomczak
F. V. Harmelen
A. T. Teije
16
35
0
23 Dec 2022
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
BDL
ReLM
LRM
42
3
0
28 Sep 2021
Logic Tensor Networks
Logic Tensor Networks
Samy Badreddine
Artur Garcez
Luciano Serafini
Michael Spranger
NAI
70
199
0
25 Dec 2020
Logic Tensor Networks for Semantic Image Interpretation
Logic Tensor Networks for Semantic Image Interpretation
Ivan Donadello
Luciano Serafini
Artur Garcez
59
209
0
24 May 2017
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