The State of Julia for Scientific Machine Learning

E Berman, J Ginesin - arXiv preprint arXiv:2410.10908, 2024 - arxiv.org
Julia has been heralded as a potential successor to Python for scientific machine learning
and numerical computing, boasting ergonomic and performance improvements. Since …

Machine learning and combinatorial optimization algorithms, with applications to railway planning

G Dalle - 2022 - pastel.hal.science
This thesis investigates the frontier between machine learning and combinatorial
optimization, two active areas of applied mathematics research. We combine theoretical …