2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2023★ 6 cited
Solving differential equations using physics informed deep learning: a hand-on tutorial with benchmark tests
Hubert Baty, Leo Baty
We revisit the original approach of using deep learning and neural networks to solve differential equations by incorporating the knowledge of the equation. This is done by adding a…
math.OC2023★ 1 cited
Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time Windows
Léo Baty, Kai Jungel, Patrick S. Klein +2
With the rise of e-commerce and increasing customer requirements, logistics service providers face a new complexity in their daily planning, mainly due to efficiently handling same…
stat.ML2022★ 2 cited
Learning with Combinatorial Optimization Layers: a Probabilistic Approach
Guillaume Dalle, Léo Baty, Louis Bouvier +1
Combinatorial optimization (CO) layers in machine learning (ML) pipelines are a powerful tool to tackle data-driven decision tasks, but they come with two main challenges. First, t…