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Differentiable Logic Machines

Differentiable Logic Machines

23 February 2021
Matthieu Zimmer
Xuening Feng
Claire Glanois
Zhaohui Jiang
Jianyi Zhang
Paul Weng
Li Dong
Hao Jianye
Liu Wulong
    AI4CE
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Papers citing "Differentiable Logic Machines"

26 / 26 papers shown
Title
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
46
24
0
26 Dec 2021
Incorporating Relational Background Knowledge into Reinforcement
  Learning via Differentiable Inductive Logic Programming
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming
Ali Payani
Faramarz Fekri
91
18
0
23 Mar 2020
From Statistical Relational to Neuro-Symbolic Artificial Intelligence
From Statistical Relational to Neuro-Symbolic Artificial Intelligence
Luc de Raedt
Sebastijan Dumancic
Robin Manhaeve
Giuseppe Marra
NAI
38
102
0
18 Mar 2020
Turning 30: New Ideas in Inductive Logic Programming
Turning 30: New Ideas in Inductive Logic Programming
Andrew Cropper
Sebastijan Dumancic
Stephen Muggleton
LRM
AI4CE
72
83
0
25 Feb 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
97
6,211
0
22 Oct 2019
Learn to Explain Efficiently via Neural Logic Inductive Learning
Learn to Explain Efficiently via Neural Logic Inductive Learning
Yu’an Yang
Le Song
NAI
42
76
0
06 Oct 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
55
550
0
18 Jul 2019
Inductive Logic Programming via Differentiable Deep Neural Logic
  Networks
Inductive Logic Programming via Differentiable Deep Neural Logic Networks
Ali Payani
Faramarz Fekri
AI4CE
33
41
0
08 Jun 2019
Neural-Symbolic Computing: An Effective Methodology for Principled
  Integration of Machine Learning and Reasoning
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Artur Garcez
Marco Gori
Luís C. Lamb
Luciano Serafini
Michael Spranger
Son N. Tran
NAI
81
291
0
15 May 2019
Neural Logic Machines
Neural Logic Machines
Honghua Dong
Jiayuan Mao
Tian Lin
Chong-Jun Wang
Lihong Li
Denny Zhou
NAI
LRM
AI4CE
104
249
0
26 Apr 2019
Neural Logic Reinforcement Learning
Neural Logic Reinforcement Learning
Zhengyao Jiang
Shan Luo
NAI
45
72
0
24 Apr 2019
Learning Algorithms via Neural Logic Networks
Learning Algorithms via Neural Logic Networks
Ali Payani
Faramarz Fekri
NAI
27
29
0
02 Apr 2019
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning
  Leveraging Symbolic Planning
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning
Daoming Lyu
Fangkai Yang
Bo Liu
Steven M. Gustafson
OffRL
44
151
0
31 Oct 2018
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language
  Understanding
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding
Kexin Yi
Jiajun Wu
Chuang Gan
Antonio Torralba
Pushmeet Kohli
J. Tenenbaum
NAI
77
606
0
04 Oct 2018
Inductive Learning of Answer Set Programs from Noisy Examples
Inductive Learning of Answer Set Programs from Noisy Examples
Mark Law
A. Russo
Krysia Broda
46
42
0
25 Aug 2018
Deep Learning: A Critical Appraisal
Deep Learning: A Critical Appraisal
G. Marcus
HAI
VLM
99
1,040
0
02 Jan 2018
Learning Explanatory Rules from Noisy Data
Learning Explanatory Rules from Noisy Data
Richard Evans
Edward Grefenstette
104
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
49
339
0
10 Nov 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
245
18,685
0
20 Jul 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
226
2,307
0
05 Jul 2017
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
225
5,323
0
03 Nov 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
168
8,805
0
04 Feb 2016
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
220
13,174
0
09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
45
3,368
0
08 Jun 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
245
6,722
0
19 Feb 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
687
23,235
0
03 Jun 2014
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