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2012.13349
Cited By
Solving Mixed Integer Programs Using Neural Networks
23 December 2020
Vinod Nair
Sergey Bartunov
Felix Gimeno
Ingrid von Glehn
Pawel Lichocki
Ivan Lobov
Brendan O'Donoghue
Nicolas Sonnerat
Christian Tjandraatmadja
Pengming Wang
Ravichandra Addanki
T. Hapuarachchi
Thomas Keck
James Keeling
Pushmeet Kohli
Ira Ktena
Yujia Li
Oriol Vinyals
Yori Zwols
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Papers citing
"Solving Mixed Integer Programs Using Neural Networks"
15 / 15 papers shown
Title
RL-MILP Solver: A Reinforcement Learning Approach for Solving Mixed-Integer Linear Programs with Graph Neural Networks
Tae-Hoon Lee
Min-Soo Kim
71
0
0
29 Nov 2024
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks
Runzhong Wang
Yang Li
Junchi Yan
Xiaokang Yang
AI4CE
26
0
0
06 Sep 2024
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness
Michal Bouška
P. Šůcha
A. Novák
Z. Hanzálek
20
9
0
19 Feb 2024
Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks
Nasimeh Heydaribeni
Xinrui Zhan
Ruisi Zhang
Tina Eliassi-Rad
F. Koushanfar
AI4CE
12
8
0
15 Nov 2023
On Statistical Learning of Branch and Bound for Vehicle Routing Optimization
Andrew Naguib
Waleed A. Yousef
Issa Traoré
Mohammed Mamun
8
0
0
15 Oct 2023
Lightweight Online Learning for Sets of Related Problems in Automated Reasoning
Haoze Wu
Christopher Hahn
Florian Lonsing
Makai Mann
R. Ramanujan
Clark W. Barrett
OffRL
LRM
26
1
0
18 May 2023
Denoising Diffusion for Sampling SAT Solutions
Kārlis Freivalds
Sergejs Kozlovics
6
2
0
30 Nov 2022
On Representing Linear Programs by Graph Neural Networks
Ziang Chen
Jialin Liu
Xinshang Wang
Jian Lu
W. Yin
AI4CE
39
31
0
25 Sep 2022
Structured Q-learning For Antibody Design
Alexander I. Cowen-Rivers
P. Gorinski
Aivar Sootla
Asif R. Khan
Liu Furui
J. Wang
Jan Peters
H. Ammar
OffRL
OnRL
11
3
0
10 Sep 2022
Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operations
A. Ramesh
Xingpeng Li
8
14
0
13 Aug 2022
Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories
Christopher W. F. Parsonson
Alexandre Laterre
Thomas D. Barrett
6
19
0
28 May 2022
VMAgent: Scheduling Simulator for Reinforcement Learning
Junjie Sheng
Shengliang Cai
Haochuan Cui
Wenhao Li
Yun Hua
...
Yiqiu Hu
Lei Zhu
Qian Peng
Hong Zha
Xiangfeng Wang
VLM
22
2
0
09 Dec 2021
Persistent Message Passing
Heiko Strathmann
M. Barekatain
Charles Blundell
Petar Velickovic
17
15
0
01 Mar 2021
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
28
344
0
18 Feb 2021
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
217
1,726
0
09 Jun 2018
1