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.

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Gennesaret Tjusila, Mathieu Besançon, Mark Turner, Thorsten Koch (2023). How Many Clues To Give? A Bilevel Formulation For The Minimum Sudoku Clue Problem.

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

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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.

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

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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.

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

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

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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.

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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.

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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.

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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.

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

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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.

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

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

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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.

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