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End-to-End Differentiable Proving

End-to-End Differentiable Proving

31 May 2017
Tim Rocktaschel
Sebastian Riedel
    NAI
ArXivPDFHTML

Papers citing "End-to-End Differentiable Proving"

50 / 94 papers shown
Title
Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene Understanding
Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene Understanding
Imran Kabir
Md. Alimoor Reza
Syed Masum Billah
ReLM
VLM
LRM
88
0
0
16 Mar 2025
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion
Qiyuan He
Jianfei Yu
Wenya Wang
LRM
36
0
0
03 Jan 2025
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
44
1
0
04 Oct 2024
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
Ying Ma
Owen Burns
Mingqiu Wang
Gang Li
Nan Du
Laurent El Shafey
Liqiang Wang
Izhak Shafran
H. Soltau
SSL
ReLM
OffRL
LRM
56
0
0
22 May 2024
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
Siheng Xiong
Yuan Yang
Faramarz Fekri
J. C. Kerce
46
50
0
19 Feb 2024
Neural-Logic Human-Object Interaction Detection
Neural-Logic Human-Object Interaction Detection
Liulei Li
Jianan Wei
Wenguan Wang
Yi Yang
53
16
0
16 Nov 2023
Large Language Models can Learn Rules
Large Language Models can Learn Rules
Zhaocheng Zhu
Yuan Xue
Xinyun Chen
Denny Zhou
Jian Tang
Dale Schuurmans
Hanjun Dai
LRM
ReLM
46
63
0
10 Oct 2023
Learning Reliable Logical Rules with SATNet
Learning Reliable Logical Rules with SATNet
Zhaoyu Li
Jinpei Guo
Yuhe Jiang
Xujie Si
LRM
NAI
34
2
0
03 Oct 2023
Efficient Learning of Discrete-Continuous Computation Graphs
Efficient Learning of Discrete-Continuous Computation Graphs
David Friede
Mathias Niepert
18
3
0
26 Jul 2023
Learning Differentiable Logic Programs for Abstract Visual Reasoning
Learning Differentiable Logic Programs for Abstract Visual Reasoning
Hikaru Shindo
Viktor Pfanschilling
Devendra Singh Dhami
Kristian Kersting
NAI
39
6
0
03 Jul 2023
Towards Unbiased Exploration in Partial Label Learning
Towards Unbiased Exploration in Partial Label Learning
Zsolt Zombori
Agapi Rissaki
Kristóf Szabó
Wolfgang Gatterbauer
Michael Benedikt
SSL
UQCV
41
1
0
02 Jul 2023
On the Correspondence Between Monotonic Max-Sum GNNs and Datalog
On the Correspondence Between Monotonic Max-Sum GNNs and Datalog
David Tena Cucala
Bernardo Cuenca Grau
B. Motik
Egor V. Kostylev
43
8
0
29 May 2023
Improved Logical Reasoning of Language Models via Differentiable
  Symbolic Programming
Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming
Hanlin Zhang
Jiani Huang
Ziyang Li
Mayur Naik
Eric P. Xing
ReLM
LRM
35
28
0
05 May 2023
Neural Probabilistic Logic Programming in Discrete-Continuous Domains
Neural Probabilistic Logic Programming in Discrete-Continuous Domains
Lennert De Smet
Pedro Zuidberg Dos Martires
Robin Manhaeve
G. Marra
Angelika Kimmig
Luc de Raedt
NAI
24
20
0
08 Mar 2023
Sequential Query Encoding For Complex Query Answering on Knowledge
  Graphs
Sequential Query Encoding For Complex Query Answering on Knowledge Graphs
Jiaxin Bai
Tianshi Zheng
Yangqiu Song
29
13
0
25 Feb 2023
Evaluating Step-by-Step Reasoning through Symbolic Verification
Evaluating Step-by-Step Reasoning through Symbolic Verification
Yi-Fan Zhang
Hanlin Zhang
Li Erran Li
Eric P. Xing
ReLM
LRM
24
8
0
16 Dec 2022
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic,
  and Multimodal
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal
K. Liang
Lingyuan Meng
Meng Liu
Yue Liu
Wenxuan Tu
Siwei Wang
Sihang Zhou
Xinwang Liu
Fu Sun
LRM
39
110
0
12 Dec 2022
A Noise-tolerant Differentiable Learning Approach for Single Occurrence
  Regular Expression with Interleaving
A Noise-tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving
Rongzhen Ye
Tianqu Zhuang
Hai Wan
Jianfeng Du
Weilin Luo
Pingjia Liang
19
2
0
01 Dec 2022
Neural Meta-Symbolic Reasoning and Learning
Neural Meta-Symbolic Reasoning and Learning
Zihan Ye
Hikaru Shindo
Devendra Singh Dhami
Kristian Kersting
NAI
LRM
28
1
0
21 Nov 2022
Proceedings of the 2nd Workshop on Logic and Practice of Programming
  (LPOP)
Proceedings of the 2nd Workshop on Logic and Practice of Programming (LPOP)
D. Warren
P. V. Roy
Yanhong A. Liu
LRM
23
0
0
17 Nov 2022
Neural-Symbolic Recursive Machine for Systematic Generalization
Neural-Symbolic Recursive Machine for Systematic Generalization
Qing Li
Yixin Zhu
Yitao Liang
Ying Nian Wu
Song-Chun Zhu
Siyuan Huang
NAI
45
9
0
04 Oct 2022
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of
  Chain-of-Thought
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Abulhair Saparov
He He
ELM
LRM
ReLM
123
285
0
03 Oct 2022
Structured Q-learning For Antibody Design
Structured Q-learning For Antibody Design
Alexander I. Cowen-Rivers
P. Gorinski
Aivar Sootla
Asif R. Khan
Liu Furui
Jun Wang
Jan Peters
H. Ammar
OffRL
OnRL
37
3
0
10 Sep 2022
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
Alessandro Daniele
Tommaso Campari
Sagar Malhotra
Luciano Serafini
NAI
26
19
0
24 Aug 2022
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation
Qiming Bao
A. Peng
Tim Hartill
N. Tan
Zhenyun Deng
Michael Witbrock
Jiamou Liu
ReLM
OOD
NAI
LRM
39
13
0
28 Jul 2022
Explainable Sparse Knowledge Graph Completion via High-order Graph
  Reasoning Network
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network
Weijia Chen
Yixin Cao
Fuli Feng
Xiangnan He
Yongdong Zhang
13
2
0
14 Jul 2022
NeuPSL: Neural Probabilistic Soft Logic
NeuPSL: Neural Probabilistic Soft Logic
Connor Pryor
Charles Dickens
Eriq Augustine
Alon Albalak
William Wang
Lise Getoor
NAI
24
33
0
27 May 2022
Region-Based Merging of Open-Domain Terminological Knowledge
Region-Based Merging of Open-Domain Terminological Knowledge
Zied Bouraoui
S. Konieczny
Thanh Ma
Nicolas Schwind
I. Varzinczak
17
2
0
05 May 2022
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language
Soumya Sanyal
Harman Singh
Xiang Ren
ReLM
LRM
34
45
0
19 Mar 2022
Neural Theorem Provers Delineating Search Area Using RNN
Neural Theorem Provers Delineating Search Area Using RNN
Yu-hao Wu
Hou-Biao Li
LRM
33
1
0
14 Mar 2022
Neuro-symbolic Natural Logic with Introspective Revision for Natural
  Language Inference
Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference
Yufei Feng
Xiaoyu Yang
Xiao-Dan Zhu
Michael A. Greenspan
LRM
NAI
55
11
0
09 Mar 2022
Selection Strategies for Commonsense Knowledge
Selection Strategies for Commonsense Knowledge
C. Schon
27
3
0
18 Feb 2022
HAKE: A Knowledge Engine Foundation for Human Activity Understanding
HAKE: A Knowledge Engine Foundation for Human Activity Understanding
Yong-Lu Li
Xinpeng Liu
Xiaoqian Wu
Yizhuo Li
Zuoyu Qiu
Liang Xu
Yue Xu
Haoshu Fang
Cewu Lu
32
38
0
14 Feb 2022
HEAT: Hyperedge Attention Networks
HEAT: Hyperedge Attention Networks
Dobrik Georgiev
Marc Brockschmidt
Miltiadis Allamanis
GNN
32
16
0
28 Jan 2022
Epistemic AI platform accelerates innovation by connecting biomedical
  knowledge
Epistemic AI platform accelerates innovation by connecting biomedical knowledge
Emily Koo
H. Bowling
K. Ashworth
D. Heeger
Stefano Pacifico
25
1
0
27 Jan 2022
A Critical Review of Inductive Logic Programming Techniques for
  Explainable AI
A Critical Review of Inductive Logic Programming Techniques for Explainable AI
Zheng Zhang
Liangliang Xu
L. Yilmaz
Bo Liu
36
7
0
31 Dec 2021
Neuro-Symbolic Hierarchical Rule Induction
Neuro-Symbolic Hierarchical Rule Induction
Claire Glanois
Xuening Feng
Zhaohui Jiang
Paul Weng
Matthieu Zimmer
Dong Li
Wulong Liu
NAI
36
23
0
26 Dec 2021
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Prithviraj Sen
B. W. Carvalho
Ryan Riegel
Alexander G. Gray
NAI
AI4CE
83
54
0
06 Dec 2021
Systematic Generalization with Edge Transformers
Systematic Generalization with Edge Transformers
Leon Bergen
Timothy J. O'Donnell
Dzmitry Bahdanau
28
46
0
01 Dec 2021
Explainable Biomedical Recommendations via Reinforcement Learning
  Reasoning on Knowledge Graphs
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs
G. Edwards
Sebastian Nilsson
Benedek Rozemberczki
Eliseo Papa
23
12
0
20 Nov 2021
Neuro-Symbolic Forward Reasoning
Neuro-Symbolic Forward Reasoning
Hikaru Shindo
Devendra Singh Dhami
Kristian Kersting
NAI
LRM
40
22
0
18 Oct 2021
Neural Unification for Logic Reasoning over Natural Language
Neural Unification for Logic Reasoning over Natural Language
Gabriele Picco
Hoang Thanh Lam
M. Sbodio
Vanessa Lopez Garcia
NAI
LRM
25
13
0
17 Sep 2021
DeepStochLog: Neural Stochastic Logic Programming
DeepStochLog: Neural Stochastic Logic Programming
Thomas Winters
G. Marra
Robin Manhaeve
Luc de Raedt
BDL
NAI
37
63
0
23 Jun 2021
Interpretable Model-based Hierarchical Reinforcement Learning using
  Inductive Logic Programming
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming
Duo Xu
Faramarz Fekri
27
10
0
21 Jun 2021
Relational Reasoning Networks
Relational Reasoning Networks
G. Marra
Michelangelo Diligenti
Francesco Giannini
NAI
41
4
0
01 Jun 2021
RotLSTM: Rotating Memories in Recurrent Neural Networks
RotLSTM: Rotating Memories in Recurrent Neural Networks
Vlad Velici
Adam Prugel-Bennett
RALM
VLM
30
1
0
01 May 2021
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking
  Reasoning Interpretability
Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability
Xin Lv
Yixin Cao
Lei Hou
Juan-Zi Li
Zhiyuan Liu
Yichi Zhang
Zelin Dai
LRM
23
19
0
14 Apr 2021
Neural Network for Weighted Signal Temporal Logic
Neural Network for Weighted Signal Temporal Logic
Ruixuan Yan
A. Julius
AI4TS
30
10
0
08 Apr 2021
Differentiable Inductive Logic Programming for Structured Examples
Differentiable Inductive Logic Programming for Structured Examples
Hikaru Shindo
Masaaki Nishino
Akihiro Yamamoto
NAI
53
29
0
02 Mar 2021
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a
  taxonomy, patterns and use cases
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases
M. V. Bekkum
M. D. Boer
F. V. Harmelen
André Meyer-Vitali
A. T. Teije
33
69
0
23 Feb 2021
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