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PySCIPOpt-ML: Embedding Trained Machine Learning Models into
  Mixed-Integer Programs
v1v2 (latest)

PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer Programs

Integration of AI and OR Techniques in Constraint Programming (CPAIOR), 2023
13 December 2023
Mark Turner
Antonia Chmiela
Thorsten Koch
Michael Winkler
    AI4CE
ArXiv (abs)PDFHTMLGithub (27★)

Papers citing "PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer Programs"

5 / 5 papers shown
CLCR: Contrastive Learning-based Constraint Reordering for Efficient MILP Solving
CLCR: Contrastive Learning-based Constraint Reordering for Efficient MILP Solving
Shuli Zeng
Mengjie Zhou
Sijia Zhang
Yixiang Hu
Feng Wu
Xiang-Yang Li
191
1
0
23 Mar 2025
Tightening convex relaxations of trained neural networks: a unified approach for convex and S-shaped activations
Tightening convex relaxations of trained neural networks: a unified approach for convex and S-shaped activations
Pablo Carrasco
Gonzalo Muñoz
LLMSV
327
3
0
30 Oct 2024
Verifying message-passing neural networks via topology-based bounds
  tightening
Verifying message-passing neural networks via topology-based bounds tightening
Christopher Hojny
Shiqiang Zhang
Juan S. Campos
Ruth Misener
AAML
346
15
0
21 Feb 2024
Neur2BiLO: Neural Bilevel Optimization
Neur2BiLO: Neural Bilevel Optimization
Justin Dumouchelle
Esther Julien
Jannis Kurtz
Elias Boutros Khalil
238
7
0
04 Feb 2024
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
766
46
0
29 Apr 2023
1
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