2021


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Jeudi 20 Mai
Heure: 10:30 - 11:30
Lieu: Salle B107, bâtiment B, Université de Villetaneuse
Résumé: Decomposition methods and column/matrix generation approaches for quadratic programming
Description: Lucas Létocart The purpose of this talk is to present three decomposition approaches for quadratic problems. First, we analyze a simplicial decomposition like algorithmic framework that handles convex quadratic programs in an effective way. We also propose a branch & bound approach based on this simplicial decomposition for the binary case and we introduce warmstart techniques using columns' projection. Then, we propose a methodological analysis on a family of reformulations combining Dantzig-Wolfe decomposition and Quadratic Convex Reformulation principles for binary quadratic problems. Finally, we propose a matrix generation method for quadratically constrained 0-1 quadratic problems based on a Dantzig-Wolfe reformulation. The domain of this relaxation corresponds to the Boolean Quadric Polytope.
Lundi 31 Mai
Heure: 13:00 - 14:00
Lieu: Salle A303, Bâtiment A, LIPN
Résumé: Knowledge-based Detection of Automatically Generated Text
Description: Vijini Liyanage Séminaire de Vijini Liyanage, étudiante du groupe RCLN, qui va nous présenter son sujet de thèse et les premières étapes de sa thèse sur la détection des textes générés automatiquement par des modèles de langage neuronales, du genre GPT-2.