activity
20222026
most citedMachine Learning for K-adaptability in Two-stage Robust Optimization

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

math.CO2026

Proximity Measures for Classes of Phylogenetic Networks

Leo van Iersel, Mark Jones, Esther Julien +2

Phylogenetic networks are used to represent the evolutionary history of species. Due to biological interpretations and computational advantages, researchers have focused on restric…

q-bio.PE2024

Solving the Tree Containment Problem Using Graph Neural Networks

Arkadiy Dushatskiy, Esther Julien, Leen Stougie +1

Tree Containment is a fundamental problem in phylogenetics useful for verifying a proposed phylogenetic network, representing the evolutionary history of certain species. Tree Cont…

math.CO2023

Making a Network Orchard by Adding Leaves

Leo van Iersel, Mark Jones, Esther Julien +1

Phylogenetic networks are used to represent the evolutionary history of species. Recently, the new class of orchard networks was introduced, which were later shown to be interpreta…

q-bio.PE2023

Constructing Phylogenetic Networks via Cherry Picking and Machine Learning

Giulia Bernardini, Leo van Iersel, Esther Julien +1

Combining a set of phylogenetic trees into a single phylogenetic network that explains all of them is a fundamental challenge in evolutionary studies. Existing methods are computat…

math.OC2022★ 2 cited

Machine Learning for K-adaptability in Two-stage Robust Optimization

Esther Julien, Krzysztof Postek, Ş. İlker Birbil

Two-stage robust optimization problems constitute one of the hardest optimization problem classes. One of the solution approaches to this class of problems is K-adaptability. This…