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. 2002.06100
  4. Cited By
Analyzing Differentiable Fuzzy Logic Operators

Analyzing Differentiable Fuzzy Logic Operators

14 February 2020
Emile van Krieken
Erman Acar
F. V. Harmelen
    NAI
    AI4CE
ArXivPDFHTML

Papers citing "Analyzing Differentiable Fuzzy Logic Operators"

30 / 30 papers shown
Title
Standard Neural Computation Alone Is Insufficient for Logical Intelligence
Standard Neural Computation Alone Is Insufficient for Logical Intelligence
Youngsung Kim
NAI
59
0
0
04 Feb 2025
Understanding the Logic of Direct Preference Alignment through Logic
Understanding the Logic of Direct Preference Alignment through Logic
Kyle Richardson
Vivek Srikumar
Ashish Sabharwal
121
2
0
23 Dec 2024
Is Complex Query Answering Really Complex?
Is Complex Query Answering Really Complex?
Cosimo Gregucci
Bo Xiong
Daniel Hernández
Lorenzo Loconte
Pasquale Minervini
Steffen Staab
Antonio Vergari
ELM
53
2
0
16 Oct 2024
Logic Tensor Networks
Logic Tensor Networks
Samy Badreddine
Artur Garcez
Luciano Serafini
Michael Spranger
NAI
96
205
0
25 Dec 2020
Complex Query Answering with Neural Link Predictors
Complex Query Answering with Neural Link Predictors
Erik Arakelyan
Daniel Daza
Pasquale Minervini
Michael Cochez
44
132
0
06 Nov 2020
Semi-Supervised Learning using Differentiable Reasoning
Semi-Supervised Learning using Differentiable Reasoning
Emile van Krieken
Erman Acar
F. V. Harmelen
DRL
28
21
0
13 Aug 2019
T-Norms Driven Loss Functions for Machine Learning
T-Norms Driven Loss Functions for Machine Learning
G. Marra
Francesco Giannini
Michelangelo Diligenti
Marco Maggini
Marco Gori
58
13
0
26 Jul 2019
Neural Probabilistic Logic Programming in DeepProbLog
Neural Probabilistic Logic Programming in DeepProbLog
Robin Manhaeve
Sebastijan Dumancic
Angelika Kimmig
T. Demeester
Luc de Raedt
NAI
48
550
0
18 Jul 2019
Injecting Prior Knowledge for Transfer Learning into Reinforcement
  Learning Algorithms using Logic Tensor Networks
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks
Samy Badreddine
Michael Spranger
OffRL
19
14
0
15 Jun 2019
Integrating Learning and Reasoning with Deep Logic Models
Integrating Learning and Reasoning with Deep Logic Models
G. Marra
Francesco Giannini
Michelangelo Diligenti
Marco Gori
NAI
48
57
0
14 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
782
93,936
0
11 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
194
5,363
0
28 Sep 2018
Adversarially Regularising Neural NLI Models to Integrate Logical
  Background Knowledge
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini
Sebastian Riedel
AAML
NAI
GAN
36
119
0
26 Aug 2018
Constraint-Based Visual Generation
Constraint-Based Visual Generation
G. Marra
Francesco Giannini
Michelangelo Diligenti
Marco Gori
3DV
GAN
31
11
0
16 Jul 2018
Theoretical Impediments to Machine Learning With Seven Sparks from the
  Causal Revolution
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
Judea Pearl
CML
30
330
0
11 Jan 2018
Deep Learning: A Critical Appraisal
Deep Learning: A Critical Appraisal
G. Marcus
HAI
VLM
70
1,037
0
02 Jan 2018
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
Jingyi Xu
Zilu Zhang
Tal Friedman
Yitao Liang
Guy Van den Broeck
67
447
0
29 Nov 2017
Learning Explanatory Rules from Noisy Data
Learning Explanatory Rules from Noisy Data
Richard Evans
Edward Grefenstette
89
482
0
13 Nov 2017
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
Tarek R. Besold
Artur Garcez
Sebastian Bader
Howard L. Bowman
Pedro M. Domingos
...
P. Lima
L. Penning
Gadi Pinkas
Hoifung Poon
Gerson Zaverucha
LRM
AI4CE
39
335
0
10 Nov 2017
A systematic study of the class imbalance problem in convolutional
  neural networks
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda
A. Maki
Maciej A. Mazurowski
87
2,335
0
15 Oct 2017
Adversarial Sets for Regularising Neural Link Predictors
Adversarial Sets for Regularising Neural Link Predictors
Pasquale Minervini
T. Demeester
Tim Rocktaschel
Sebastian Riedel
PINN
38
99
0
24 Jul 2017
Logic Tensor Networks for Semantic Image Interpretation
Logic Tensor Networks for Semantic Image Interpretation
Ivan Donadello
Luciano Serafini
Artur Garcez
69
210
0
24 May 2017
Towards Deep Symbolic Reinforcement Learning
Towards Deep Symbolic Reinforcement Learning
M. Garnelo
Kai Arulkumaran
Murray Shanahan
45
225
0
18 Sep 2016
Lifted Rule Injection for Relation Embeddings
Lifted Rule Injection for Relation Embeddings
T. Demeester
Tim Rocktaschel
Sebastian Riedel
NAI
36
144
0
27 Jun 2016
Harnessing Deep Neural Networks with Logic Rules
Harnessing Deep Neural Networks with Logic Rules
Zhiting Hu
Xuezhe Ma
Zhengzhong Liu
Eduard H. Hovy
Eric Xing
AI4CE
NAI
29
613
0
21 Mar 2016
Lifted Relational Neural Networks
Lifted Relational Neural Networks
Gustav Sourek
Vojtech Aschenbrenner
F. Železný
Ondrej Kuzelka
NAI
28
60
0
20 Aug 2015
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
56
1,369
0
09 Jul 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
493
149,474
0
22 Dec 2014
Towards a Model Theory for Distributed Representations
Towards a Model Theory for Distributed Representations
R. Guha
32
22
0
21 Oct 2014
Loopy Belief Propagation for Approximate Inference: An Empirical Study
Loopy Belief Propagation for Approximate Inference: An Empirical Study
Kevin P. Murphy
Yair Weiss
Michael I. Jordan
3DV
97
1,880
0
23 Jan 2013
1