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1905.12149
Cited By
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
29 May 2019
Po-Wei Wang
P. Donti
Bryan Wilder
Zico Kolter
LRM
NAI
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Papers citing
"SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver"
40 / 40 papers shown
Title
Artificial Kuramoto Oscillatory Neurons
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Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
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Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang
Kaiyi Ji
Junyi Geng
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Y. Yang
Xiao Lin
Zhipeng Zhao
SSL
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28 Jan 2025
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
Bowen Li
Zhaoyu Li
Qiwei Du
Jinqi Luo
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...
Katia P. Sycara
Pradeep Kumar Ravikumar
Alexander G. Gray
X. Si
Sebastian A. Scherer
AI4CE
LRM
81
3
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01 Nov 2024
LinSATNet: The Positive Linear Satisfiability Neural Networks
Runzhong Wang
Yunhao Zhang
Ziao Guo
Tianyi Chen
Xiaokang Yang
Junchi Yan
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18 Jul 2024
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
Anselm Paulus
Georg Martius
Vít Musil
AI4CE
49
1
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08 Jul 2024
Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning
Charles Dickens
Changyu Gao
Connor Pryor
Stephen J. Wright
Lise Getoor
29
3
0
17 Jan 2024
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints
Kareem Ahmed
Kai-Wei Chang
Guy Van den Broeck
26
10
0
06 Dec 2023
Learning Reliable Logical Rules with SATNet
Zhaoyu Li
Jinpei Guo
Yuhe Jiang
Xujie Si
LRM
NAI
27
2
0
03 Oct 2023
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Jayanta Mandi
James Kotary
Senne Berden
Maxime Mulamba
Víctor Bucarey
Tias Guns
Ferdinando Fioretto
AI4CE
26
54
0
25 Jul 2023
Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
Zhun Yang
Adam Ishay
Joohyung Lee
29
9
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10 Jul 2023
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators
Zhun Yang
Joohyung Lee
Chi-youn Park
19
18
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10 Jul 2023
Neuro-Symbolic Sudoku Solver
Ashutosh Hathidara
Lalit Pandey
16
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02 Jul 2023
Scallop: A Language for Neurosymbolic Programming
Ziyang Li
Jiani Huang
Mayur Naik
ReLM
LRM
NAI
16
30
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10 Apr 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization
Tanmay Gautam
Samuel Pfrommer
Somayeh Sojoudi
18
2
0
29 Mar 2023
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices
Jingyi Xu
Tushar Vaidya
Y. Blankenship
Saket Chandra
Zhangsheng Lai
Kai Fong Ernest Chong
41
8
0
21 Mar 2023
Learning Modulo Theories
Matt Fredrikson
Kaiji Lu
Saranya Vijayakumar
S. Jha
Vijay Ganesh
Zifan Wang
NAI
OffRL
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26 Jan 2023
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
11
2
0
01 Dec 2022
Logical Tasks for Measuring Extrapolation and Rule Comprehension
Ippei Fujisawa
Ryota Kanai
ELM
LRM
20
4
0
14 Nov 2022
Learning predictive checklists from continuous medical data
Yukti Makhija
E. Brouwer
Rahul G. Krishnan
17
1
0
14 Nov 2022
Deep Equilibrium Approaches to Diffusion Models
Ashwini Pokle
Zhengyang Geng
Zico Kolter
DiffM
24
39
0
23 Oct 2022
Graphically Structured Diffusion Models
Christian Weilbach
William Harvey
Frank D. Wood
DiffM
32
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20 Oct 2022
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures
Yatin Nandwani
Rishabh Ranjan
Mausam
Parag Singla
25
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17 Oct 2022
NeuPSL: Neural Probabilistic Soft Logic
Connor Pryor
Charles Dickens
Eriq Augustine
Alon Albalak
William Wang
Lise Getoor
NAI
6
33
0
27 May 2022
Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies
Stephen Gould
Dylan Campbell
Itzik Ben-Shabat
Chamin Pasidu Hewa Koneputugodage
Zhiwei Xu
20
8
0
24 Feb 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices
Mikolaj Malkiñski
Jacek Mañdziuk
120
41
0
28 Jan 2022
Constraint-based graph network simulator
Yulia Rubanova
Alvaro Sanchez-Gonzalez
Tobias Pfaff
Peter W. Battaglia
PINN
AI4CE
25
28
0
16 Dec 2021
On Training Implicit Models
Zhengyang Geng
Xinyu Zhang
Shaojie Bai
Yisen Wang
Zhouchen Lin
59
69
0
09 Nov 2021
A global convergence theory for deep ReLU implicit networks via over-parameterization
Tianxiang Gao
Hailiang Liu
Jia Liu
Hridesh Rajan
Hongyang Gao
MLT
23
16
0
11 Oct 2021
Implicit Behavioral Cloning
Peter R. Florence
Corey Lynch
Andy Zeng
Oscar Ramirez
Ayzaan Wahid
Laura Downs
Adrian S. Wong
Johnny Lee
Igor Mordatch
Jonathan Tompson
OffRL
49
369
0
01 Sep 2021
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
Limitations of Autoregressive Models and Their Alternatives
Chu-cheng Lin
Aaron Jaech
Xin Li
Matthew R. Gormley
Jason Eisner
29
58
0
22 Oct 2020
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases
Chris Wendler
Andisheh Amrollahi
B. Seifert
Andreas Krause
Markus Püschel
12
9
0
01 Oct 2020
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
Multiscale Deep Equilibrium Models
Shaojie Bai
V. Koltun
J. Zico Kolter
BDL
35
211
0
15 Jun 2020
Semi-Lexical Languages -- A Formal Basis for Unifying Machine Learning and Symbolic Reasoning in Computer Vision
Briti Gangopadhyay
S. Hazra
P. Dasgupta
NAI
16
0
0
25 Apr 2020
Hybrid Classification and Reasoning for Image-based Constraint Solving
Maxime Mulamba
Jayanta Mandi
Rocsildes Canoy
Tias Guns
33
11
0
24 Mar 2020
It's Not What Machines Can Learn, It's What We Cannot Teach
Gal Yehuda
Moshe Gabel
Assaf Schuster
FaML
8
37
0
21 Feb 2020
Implicit Deep Learning
L. Ghaoui
Fangda Gu
Bertrand Travacca
Armin Askari
Alicia Y. Tsai
AI4CE
34
176
0
17 Aug 2019
Solving NP-Hard Problems on Graphs with Extended AlphaGo Zero
Kenshi Abe
Zijian Xu
Issei Sato
Masashi Sugiyama
GNN
AI4CE
25
54
0
28 May 2019
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