Publications

Deborah Hendrych, Mathieu Besançon, Sebastian Pokutta (2024). Solving the Optimal Experiment Design Problem with Mixed-Integer Convex Methods. Symposium on Experimental Algorithms.

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Gioni Mexi, Somayeh Shamsi, Mathieu Besançon, Pierre Le Bodic (2024). Probabilistic Lookahead Strong Branching via a Stochastic Abstract Branching Model. International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research.

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Yohann Chasseray, Mathieu Besançon, Éva Petitdemange, Xavier Lorca (2024). Optimisation models for the design of multiple self-consumption loops in semi-rural areas. arXiv e-prints.

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Kartikey Sharma, Deborah Hendrych, Mathieu Besançon, Sebastian Pokutta (2024). Network Design for the Traffic Assignment Problem with Mixed-Integer Frank-Wolfe. Proceedings of the INFORMS Optimization Society Annual conference.

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

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Suresh Bolusani, Mathieu Besançon, Ambros Gleixner, Timo Berthold, Claudia D'Ambrosio, Gonzalo Muñoz, Joseph Paat, Dimitri Thomopulos (2023). The MIP Workshop 2023 Computational Competition on Reoptimization.

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Deborah Hendrych, Mathieu Besançon, Sebastian Pokutta (2023). Solving the Optimal Experiment Design Problem with Mixed-Integer Convex Methods.

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Gioni Mexi, Mathieu Besançon, Suresh Bolusani, Antonia Chmiela, Ambros Gleixner, Alexander Hoen (2023). Scylla: a matrix-free fix-propagate-and-project heuristic for mixed-integer optimization.

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Gioni Mexi, Somayeh Shamsi, Mathieu Besançon, Pierre Le Bodic (2023). Probabilistic Lookahead Strong Branching via a Stochastic Abstract Branching Model.

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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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Akshay Sharma, Mathieu Besançon, Joaquim Dias Garcia, Benoı̂t Legat (2023). Flexible Differentiable Optimization via Model Transformations. INFORMS Journal on Computing.

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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 (2023). Enabling research through the SCIP optimization suite 8.0. ACM Transactions on Mathematical Software.

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Mark Turner, Timo Berthold, Mathieu Besançon, Thorsten Koch (2023). Cutting plane selection with analytic centers and multiregression. International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research.

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Mark Turner, Timo Berthold, Mathieu Besançon (2023). A Context-Aware Cutting Plane Selection Algorithm for Mixed-Integer Programming.

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Mark Turner, Timo Berthold, Mathieu Besançon (2023). A Context-Aware Cutting Plane Selection Algorithm for Mixed-Integer Programming. German Operations Research Society Annual Meeting.

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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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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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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.

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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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