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Recurrent Relational Networks

Recurrent Relational Networks

21 November 2017
Rasmus Berg Palm
Ulrich Paquet
Ole Winther
    GNN
    ReLM
    NAI
ArXivPDFHTML

Papers citing "Recurrent Relational Networks"

50 / 82 papers shown
Title
Concept-based Rubrics Improve LLM Formative Assessment and Data Synthesis
Concept-based Rubrics Improve LLM Formative Assessment and Data Synthesis
Yuchen Wei
Dennis Pearl
Matthew Beckman
Rebecca J. Passonneau
28
0
0
04 Apr 2025
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
Yudong Xu
Wenhao Li
Scott Sanner
Elias Boutros Khalil
39
0
0
18 Feb 2025
Hyperspherical Energy Transformer with Recurrent Depth
Yunzhe Hu
Difan Zou
Dong Xu
41
0
0
17 Feb 2025
Artificial Kuramoto Oscillatory Neurons
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato
Sindy Lowe
Andreas Geiger
Max Welling
AI4CE
67
6
0
17 Feb 2025
Neuro-symbolic Learning Yielding Logical Constraints
Neuro-symbolic Learning Yielding Logical Constraints
Zenan Li
Yunpeng Huang
Zhaoyu Li
Yuan Yao
Jingwei Xu
Taolue Chen
Xiaoxing Ma
Jian Lu
NAI
45
5
0
28 Oct 2024
Unveiling Narrative Reasoning Limits of Large Language Models with Trope
  in Movie Synopses
Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie Synopses
Hung-Ting Su
Ya-Ching Hsu
Xudong Lin
Xiang Qian Shi
Yulei Niu
Han-Yuan Hsu
Hung-yi Lee
Winston H. Hsu
LRM
31
0
0
22 Sep 2024
Causal Language Modeling Can Elicit Search and Reasoning Capabilities on
  Logic Puzzles
Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles
Kulin Shah
Nishanth Dikkala
Xin Wang
Rina Panigrahy
ELM
ReLM
LRM
29
9
0
16 Sep 2024
An Unsupervised Learning Framework Combined with Heuristics for the
  Maximum Minimal Cut Problem
An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem
Huaiyuan Liu
Xianzhang Liu
Donghua Yang
Hongzhi Wang
Yingchi Long
Mengtong Ji
Dongjing Miao
Zhiyu Liang
15
0
0
16 Aug 2024
Learning Iterative Reasoning through Energy Diffusion
Learning Iterative Reasoning through Energy Diffusion
Yilun Du
Jiayuan Mao
Joshua B. Tenenbaum
LRM
PINN
45
6
0
17 Jun 2024
FCoReBench: Can Large Language Models Solve Challenging First-Order Combinatorial Reasoning Problems?
FCoReBench: Can Large Language Models Solve Challenging First-Order Combinatorial Reasoning Problems?
Chinmay Mittal
Krishna Kartik
Mausam
Parag Singla
LRM
31
4
0
04 Feb 2024
Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced
  Reasoning in Neural Models (ASPER)
Bridging Logic and Learning: A Neural-Symbolic Approach for Enhanced Reasoning in Neural Models (ASPER)
Fadi Al-Machot
20
2
0
18 Dec 2023
Assessing SATNet's Ability to Solve the Symbol Grounding Problem
Assessing SATNet's Ability to Solve the Symbol Grounding Problem
Oscar Chang
Lampros Flokas
Hod Lipson
Michael Spranger
NAI
23
17
0
13 Dec 2023
Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning
Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning
Roshanak Mirzaee
Parisa Kordjamshidi
LRM
19
7
0
25 Oct 2023
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial
  Reasoning in Text
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text
Shuaiyi Li
Yang Deng
Wai Lam
25
2
0
19 Oct 2023
When can transformers reason with abstract symbols?
When can transformers reason with abstract symbols?
Enric Boix-Adserà
Omid Saremi
Emmanuel Abbe
Samy Bengio
Etai Littwin
Josh Susskind
LRM
NAI
26
12
0
15 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
SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning
SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning
Julian Minder
Florian Grötschla
Joël Mathys
Roger Wattenhofer
25
8
0
21 Sep 2023
NeurASP: Embracing Neural Networks into Answer Set Programming
NeurASP: Embracing Neural Networks into Answer Set Programming
Zhun Yang
Adam Ishay
Joohyung Lee
NAI
22
153
0
15 Jul 2023
Coupling Large Language Models with Logic Programming for Robust and
  General Reasoning from Text
Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text
Zhun Yang
Adam Ishay
Joohyung Lee
LRM
ELM
26
50
0
15 Jul 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
21
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
14
18
0
10 Jul 2023
Dirichlet Diffusion Score Model for Biological Sequence Generation
Dirichlet Diffusion Score Model for Biological Sequence Generation
P. Avdeyev
Chenlai Shi
Y.M. Tan
Kseniia Dudnyk
Jian Zhou
DiffM
13
48
0
18 May 2023
Scalable Coupling of Deep Learning with Logical Reasoning
Scalable Coupling of Deep Learning with Logical Reasoning
Marianne Defresne
S. Barbe
T. Schiex
NAI
AI4CE
23
7
0
12 May 2023
Neural Algorithmic Reasoning with Causal Regularisation
Neural Algorithmic Reasoning with Causal Regularisation
Beatrice Bevilacqua
Kyriacos Nikiforou
Borja Ibarz
Ioana Bica
Michela Paganini
Charles Blundell
Jovana Mitrović
Petar Velivcković
OOD
CML
NAI
28
26
0
20 Feb 2023
Learning Graph Algorithms With Recurrent Graph Neural Networks
Learning Graph Algorithms With Recurrent Graph Neural Networks
Florian Grötschla
Joël Mathys
Roger Wattenhofer
GNN
19
6
0
09 Dec 2022
Graphically Structured Diffusion Models
Graphically Structured Diffusion Models
Christian Weilbach
William Harvey
Frank D. Wood
DiffM
27
7
0
20 Oct 2022
A Solver-Free Framework for Scalable Learning in Neural ILP
  Architectures
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures
Yatin Nandwani
Rishabh Ranjan
Mausam
Parag Singla
25
7
0
17 Oct 2022
Achieving and Understanding Out-of-Distribution Generalization in
  Systematic Reasoning in Small-Scale Transformers
Achieving and Understanding Out-of-Distribution Generalization in Systematic Reasoning in Small-Scale Transformers
A. Nam
Mustafa Abdool
Trevor C. Maxfield
James L. McClelland
NAI
LRM
AI4CE
26
1
0
07 Oct 2022
On the visual analytic intelligence of neural networks
On the visual analytic intelligence of neural networks
Stanislaw Wo'zniak
Hlynur Jónsson
G. Cherubini
A. Pantazi
E. Eleftheriou
4
0
0
28 Sep 2022
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark
Down and Across: Introducing Crossword-Solving as a New NLP Benchmark
Saurabh Kulshreshtha
Olga Kovaleva
Namrata Shivagunde
Anna Rumshisky
ELM
LRM
24
4
0
20 May 2022
StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in
  Texts
StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts
Zhengxiang Shi
Qiang Zhang
Aldo Lipani
9
70
0
18 Apr 2022
End-to-end Algorithm Synthesis with Recurrent Networks: Logical
  Extrapolation Without Overthinking
End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking
Arpit Bansal
Avi Schwarzschild
Eitan Borgnia
Z. Emam
Furong Huang
Micah Goldblum
Tom Goldstein
LRM
9
24
0
11 Feb 2022
Neural Models for Output-Space Invariance in Combinatorial Problems
Neural Models for Output-Space Invariance in Combinatorial Problems
Yatin Nandwani
Vidit Jain
Mausam
Parag Singla
AAML
19
2
0
07 Feb 2022
Network Calculus with Flow Prolongation -- A Feedforward FIFO Analysis
  enabled by ML
Network Calculus with Flow Prolongation -- A Feedforward FIFO Analysis enabled by ML
Fabien Geyer
Alexander Scheffler
Steffen Bondorf
17
6
0
07 Feb 2022
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent
Daoming Lyu
Bo Liu
Jianshu Chen
LRM
25
1
0
01 Feb 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's
  Progressive Matrices
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices
Mikolaj Malkiñski
Jacek Mañdziuk
120
41
0
28 Jan 2022
Two-stage Rule-induction Visual Reasoning on RPMs with an Application to
  Video Prediction
Two-stage Rule-induction Visual Reasoning on RPMs with an Application to Video Prediction
Wentao He
Jianfeng Ren
Ruibin Bai
Xudong Jiang
LRM
14
5
0
24 Nov 2021
Systematic human learning and generalization from a brief tutorial with
  explanatory feedback
Systematic human learning and generalization from a brief tutorial with explanatory feedback
A. Nam
James L. McClelland
16
1
0
10 Jul 2021
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural
  Networks
Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks
Jiaqing Xie
Rex Ying
GNN
12
3
0
24 Jun 2021
Techniques for Symbol Grounding with SATNet
Techniques for Symbol Grounding with SATNet
Sever Topan
David Rolnick
X. Si
NAI
11
23
0
16 Jun 2021
Learning Autonomy in Management of Wireless Random Networks
Learning Autonomy in Management of Wireless Random Networks
Hoon Lee
Sang Hyun Lee
Tony Q. S. Quek
20
5
0
15 Jun 2021
Goal-Aware Neural SAT Solver
Goal-Aware Neural SAT Solver
Emīls Ozoliņš
Kārlis Freivalds
Andis Draguns
Eliza Gaile
Ronalds Zakovskis
Sergejs Kozlovics
NAI
AAML
17
24
0
14 Jun 2021
Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
32
346
0
18 Feb 2021
Reinforcement Learning For Constraint Satisfaction Game Agents
  (15-Puzzle, Minesweeper, 2048, and Sudoku)
Reinforcement Learning For Constraint Satisfaction Game Agents (15-Puzzle, Minesweeper, 2048, and Sudoku)
Anav Mehta
AI4CE
11
4
0
09 Feb 2021
Situation and Behavior Understanding by Trope Detection on Films
Situation and Behavior Understanding by Trope Detection on Films
Chen-Hsi Chang
Hung-Ting Su
Jui-Heng Hsu
Yu-Siang Wang
Yu-Cheng Chang
Zhe-Yu Liu
Ya-Liang Chang
Wen-Feng Cheng
Ke-Jyun Wang
Winston H. Hsu
6
6
0
19 Jan 2021
On the Binding Problem in Artificial Neural Networks
On the Binding Problem in Artificial Neural Networks
Klaus Greff
Sjoerd van Steenkiste
Jürgen Schmidhuber
OCL
224
254
0
09 Dec 2020
Extending Answer Set Programs with Neural Networks
Extending Answer Set Programs with Neural Networks
Zhun Yang
ReLM
NAI
LRM
12
0
0
22 Sep 2020
AI and Wargaming
AI and Wargaming
J. Goodman
S. Risi
Simon Lucas
VLM
6
12
0
18 Sep 2020
Neural Learning of One-of-Many Solutions for Combinatorial Problems in
  Structured Output Spaces
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
Yatin Nandwani
Deepanshu Jindal
Mausam
Parag Singla
16
13
0
27 Aug 2020
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network
  Systems
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems
Yuwei Hu
Zihao Ye
Minjie Wang
Jiali Yu
Da Zheng
Mu Li
Zheng-Wei Zhang
Zhiru Zhang
Yida Wang
GNN
33
80
0
26 Aug 2020
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