96 citations · 96 across the 2 of their papers we have counts for
4 papers
On Generalized Surrogate Duality in Mixed-Integer Nonlinear Programming
Benjamin Müller, Gonzalo Muñoz, Maxime Gasse +3
The most important ingredient for solving mixed-integer nonlinear programs (MINLPs) to global epsilon-optimality with spatial branch and bound is a tight, computationally tractable…
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Maxime Gasse, Didier Chételat, Nicola Ferroni +2
Combinatorial optimization problems are typically tackled by the branch-and-bound paradigm. We propose a new graph convolutional neural network model for learning branch-and-bound…
F-measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets
Maxime Gasse, Alex Aussem
We discuss a method to improve the exact F-measure maximization algorithm called GFM, proposed in (Dembczynski et al. 2011) for multi-label classification, assuming the label set c…
A hybrid algorithm for Bayesian network structure learning with application to multi-label learning
Maxime Gasse, Alex Aussem, Haytham Elghazel
We present a novel hybrid algorithm for Bayesian network structure learning, called H2PC. It first reconstructs the skeleton of a Bayesian network and then performs a Bayesian-scor…