Publications

Sébastien Designolle, Gabriele Iommazzo, Mathieu Besançon, Sebastian Knebel, Patrick Gelß, Sebastian Pokutta (2023). Improved local models and new Bell inequalities via Frank-Wolfe algorithms. arXiv.

Cite DOI URL

Mark Turner, Timo Berthold, Mathieu Besançon, Thorsten Koch (2023). Cutting Plane Selection with Analytic Centers and Multiregression. CPAIOR 2023.

Cite

St Elmo Wilken, Mathieu Besançon, Miroslav Kratochvı́l, Chilperic Armel Foko Kuate, Christophe Trefois, Wei Gu, Oliver Ebenhöh (2022). Interrogating the effect of enzyme kinetics on metabolism using differentiable constraint-based models. Metabolic Engineering.

Cite

Jan Macdonald, Mathieu Besançon, Sebastian Pokutta (2022). Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings. ICML.

Cite

Mathieu Besançon, Alejandro Carderera, Sebastian Pokutta (2022). FrankWolfe.jl: A High-Performance and Flexible Toolbox for Frank--Wolfe Algorithms and Conditional Gradients. INFORMS Journal on Computing.

Cite

Akshay Sharma, Mathieu Besançon, Joaquim Dias Garcia, Benoı̂t Legat (2022). Flexible Differentiable Optimization via Model Transformations. In minor revision.

Cite

Deborah Hendrych, Hannah Troppens, Mathieu Besançon, Sebastian Pokutta (2022). Convex mixed-integer optimization with Frank-Wolfe algorithms.

Cite

Ksenia Bestuzheva, Mathieu Besançon, Wei-Kun Chen, Antonia Chmiela, Tim Donkiewicz, Jasper van Doornmalen, Leon Eifler, Oliver Gaul, Gerald Gamrath, Ambros Gleixner, others (2021). The SCIP Optimization Suite 8.0. arXiv preprint arXiv:2112.08872.

Cite

Alejandro Carderera, Mathieu Besançon, Sebastian Pokutta (2021). Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions. Advances in Neural Information Processing Systems.

Cite

Ksenia Bestuzheva, Mathieu Besançon, Wei-Kun Chen, Antonia Chmiela, Tim Donkiewicz, Jasper van Doornmalen, Leon Eifler, Oliver Gaul, Gerald Gamrath, Ambros Gleixner, others (2021). Enabling Research through the SCIP Optimization Suite 8.0. Transactions on Mathematical Software.

Cite

Mathieu Besançon, Theodore Papamarkou, David Anthoff, Alex Arslan, Simon Byrne, Dahua Lin, John Pearson (2021). Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem. Journal of Statistical Software.

Cite

Mathieu Besançon, Miguel F Anjos, Luce Brotcorne (2021). Complexity of near-optimal robust versions of multilevel optimization problems. Optimization Letters.

Cite

Mathieu Besançon, Miguel F Anjos, Luce Brotcorne, Juan A Gomez-Herrera (2020). A bilevel approach for optimal price-setting of time-and-level-of-use tariffs. IEEE Transactions on Smart Grid.

Cite

Mathieu Besançon, Miguel F Anjos, Luce Brotcorne (2019). Near-optimal robust bilevel optimization. arXiv preprint arXiv:1908.04040.

Cite

Mathieu Besançon (2019). A Julia package for bilevel optimization problems. Journal of Open Source Software.

Cite

Mathieu Besançon, Miguel F. Anjos, Luce Brotcorne, Juan A. Gomez-Herrera (2019). A Bilevel Framework for Optimal Price-Setting of Time-and-Level-of-Use Tariffs.

Cite