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DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming
  with Feasibility Guarantee

DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee

20 October 2023
Haoyu Wang
Jialin Liu
Xiaohan Chen
Xinshang Wang
Pan Li
Wotao Yin
ArXivPDFHTML

Papers citing "DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee"

3 / 3 papers shown
Title
On Representing Linear Programs by Graph Neural Networks
On Representing Linear Programs by Graph Neural Networks
Ziang Chen
Jialin Liu
Xinshang Wang
Jian Lu
W. Yin
AI4CE
42
31
0
25 Sep 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter
  Optimization
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Marius Lindauer
Katharina Eggensperger
Matthias Feurer
André Biedenkapp
Difan Deng
C. Benjamins
Tim Ruhopf
René Sass
Frank Hutter
83
323
0
20 Sep 2021
Solving Mixed Integer Programs Using Neural Networks
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
107
238
0
23 Dec 2020
1