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2203.02433
Cited By
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights
4 March 2022
Maxime Gasse
Quentin Cappart
J. Charfreitag
Laurent Charlin
Didier Chételat
Antonia Chmiela
Justin Dumouchelle
Ambros M. Gleixner
Aleksandr M. Kazachkov
Elias Boutros Khalil
Pawel Lichocki
Andrea Lodi
Miles Lubin
Chris J. Maddison
Christopher Morris
Dimitri J. Papageorgiou
Augustin Parjadis
Sebastian Pokutta
Antoine Prouvost
Lara Scavuzzo
Giulia Zarpellon
Linxin Yangm
Sha Lai
Akang Wang
Xiaodong Luo
Xiang Zhou
Haohan Huang
Sheng Cheng Shao
Yuanming Zhu
Dong Zhang
T. Quan
Zixuan Cao
Yang Xu
Zhewei Huang
Shuchang Zhou
C. Binbin
He Minggui
Hao Hao
Zhang Zhiyu
An Zhiwu
M. Kun
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Papers citing
"The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights"
20 / 20 papers shown
Title
Riemannian Optimization on Relaxed Indicator Matrix Manifold
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Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
Haoyang Liu
Jie Wang
Zijie Geng
Xijun Li
Yuxuan Zong
Fangzhou Zhu
Jianye Hao
Feng Wu
66
3
0
03 Mar 2025
Towards Foundation Models for Mixed Integer Linear Programming
Sirui Li
Janardhan Kulkarni
Ishai Menache
Cathy Wu
Beibin Li
57
4
0
24 Feb 2025
An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling
Linxin Yang
Bingheng Li
Tian Ding
Jianghua Wu
Akang Wang
Yuyi Wang
Jiliang Tang
Ruoyu Sun
Xiaodong Luo
77
0
0
02 Dec 2024
RL-MILP Solver: A Reinforcement Learning Approach for Solving Mixed-Integer Linear Programs with Graph Neural Networks
Tae-Hoon Lee
Min-Soo Kim
81
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0
29 Nov 2024
Graph Coloring Using Heat Diffusion
Vivek Chaudhary
26
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0
21 Apr 2024
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative Analysis
Hao Hao
Xiaoqun Zhang
Aimin Zhou
24
3
0
21 Mar 2024
Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming
Lara Scavuzzo
K. Aardal
Andrea Lodi
Neil Yorke-Smith
51
19
0
08 Feb 2024
Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming
Haotian Ling
Zhihai Wang
Jie Wang
47
5
0
31 Jan 2024
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks
M. Seyfi
Amin Banitalebi-Dehkordi
Zirui Zhou
Yong Zhang
49
4
0
23 Nov 2023
Learning to Configure Separators in Branch-and-Cut
Sirui Li
Wenbin Ouyang
Max B. Paulus
Cathy Wu
24
8
0
08 Nov 2023
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation
Haoyang Liu
Yufei Kuang
Jie Wang
Xijun Li
Yongdong Zhang
Feng Wu
AAML
54
7
0
22 Oct 2023
Reinforcement Learning for Node Selection in Branch-and-Bound
Alexander Mattick
Christopher Mutschler
24
2
0
29 Sep 2023
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs
Taehyun Yoon
Jinwon Choi
Hyokun Yun
Sungbin Lim
24
0
0
01 Aug 2023
Learning To Dive In Branch And Bound
Max B. Paulus
Andreas Krause
29
4
0
24 Jan 2023
Survey on Lagrangian Relaxation for MILP: Importance, Challenges, Historical Review, Recent Advancements, and Opportunities
Mikhail A. Bragin
14
11
0
02 Jan 2023
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
32
3
0
10 Sep 2022
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
32
348
0
18 Feb 2021
Solving Mixed Integer Programs Using Neural Networks
Vinod Nair
Sergey Bartunov
Felix Gimeno
Ingrid von Glehn
Pawel Lichocki
...
Pushmeet Kohli
Ira Ktena
Yujia Li
Oriol Vinyals
Yori Zwols
127
244
0
23 Dec 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
273
1,275
0
06 Mar 2017
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