research
∙
07/18/2023
Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces
This paper presents a framework for computing the Gromov-Wasserstein pro...
share
research
∙
02/20/2023
Model-based feature selection for neural networks: A mixed-integer programming approach
In this work, we develop a novel input feature selection framework for R...
research
∙
02/10/2022
P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints
We develop a class of mixed-integer formulations for disjunctive constra...
research
∙
01/25/2022
Maximizing information from chemical engineering data sets: Applications to machine learning
It is well-documented how artificial intelligence can have (and already ...
research
∙
02/08/2021
Partition-based formulations for mixed-integer optimization of trained ReLU neural networks
This paper introduces a class of mixed-integer formulations for trained ...
research
∙
01/29/2021
Between steps: Intermediate relaxations between big-M and convex hull formulations
This work develops a class of relaxations in between the big-M and conve...
research
∙
03/10/2020
