Improving GAC-4 for Table and MDD Constraints. - Guillaume Perez; Jean-Charles Régin (CP, 2014)

Efficient Operations On MDDs for Building Constraint Programming Models. - Guillaume Perez; Jean-Charles Régin (IJCAI, 2015)

Relations between MDDs and Tuples and Dynamic Modifications of MDDs based constraints. - Guillaume Perez; Jean-Charles Régin (CoRR, 2015)

Compact-Table: Efficiently Filtering Table Constraints with Reversible Sparse Bit-Sets. - Jordan Demeulenaere; Renaud Hartert; Christophe Lecoutre; Guillaume Perez; Laurent Perron; Jean-Charles Régin; Pierre Schaus (CP, 2016)

Enforcing Structure on Temporal Sequences: The Allen Constraint. - Pierre Roy; Guillaume Perez; Jean-Charles Régin; Alexandre Papadopoulos; François Pachet; Marco Marchini (CP, 2016)

Constructions and In-Place Operations for MDDs Based Constraints. - Guillaume Perez; Jean-Charles Régin (CPAIOR, 2016)

Soft and Cost MDD Propagators. - Guillaume Perez; Jean-Charles Régin (AAAI, 2017)

MDDs: Sampling and Probability Constraints. - Guillaume Perez; Jean-Charles Régin (CP, 2017)

MDDs are Efficient Modeling Tools: An Application to Some Statistical Constraints. - Guillaume Perez; Jean-Charles Régin (CPAIOR, 2017)

Decision diagrams : constraints and algorithms. (Diagrammes de décision : contraintes et algorithmes). - Guillaume Perez (2017)

Parallel Algorithms for Operations on Multi-Valued Decision Diagrams. - Guillaume Perez; Jean-Charles Régin (AAAI, 2018)

Objective as a Feature for Robust Search Strategies. - Anthony Palmieri; Guillaume Perez (CP, 2018)

Extending the Capacity of 1 / f Noise Generation. - Guillaume Perez; Brendan Rappazzo; Carla P. Gomes (CP, 2018)

An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science. - Junwen Bai; Sebastian Ament; Guillaume Perez; John M. Gregoire; Carla P. Gomes (CPAIOR, 2018)

Efficient Projection Algorithms onto the Weighted l1 Ball. - Guillaume Perez; Sebastian Ament; Carla P. Gomes; Michel Barlaud (CoRR, 2020)

A filtered bucket-clustering method for projection onto the simplex and the ℓ 1 ball. - Guillaume Perez; Michel Barlaud; Lionel Fillatre; Jean-Charles Régin (Math. Program., 2020)

Constrained Machine Learning: The Bagel Framework. - Guillaume Perez; Sebastian Ament; Carla P. Gomes; Arnaud Lallouet (CoRR, 2021)

A Deep Reinforcement Learning Heuristic for SAT based on Antagonist Graph Neural Networks. - Thomas Fournier; Arnaud Lallouet; Télio Cropsal; Gaël Glorian; Alexandre Papadopoulos; Antoine Petitet; Guillaume Perez; Suruthy Sekar; Wijnand Suijlen (ICTAI, 2022)

Efficient projection algorithms onto the weighted ℓ1 ball. - Guillaume Perez; Sebastian Ament; Carla P. Gomes; Michel Barlaud (Artif. Intell., 2022)

Generalized Confidence Constraints. - Guillaume Perez; Steve Malalel; Gael Glorian; Victor Jung; Alexandre Papadopoulos; Marie Pelleau; Wijnand Suijlen; Jean-Charles Régin; Arnaud Lallouet (AAAI, 2023)

Distribution Optimization in Constraint Programming. - Guillaume Perez; Gaël Glorian; Wijnand Suijlen; Arnaud Lallouet (CP, 2023)

A Constraint Programming Model for Scheduling the Unloading of Trains in Ports. - Guillaume Perez; Gaël Glorian; Wijnand Suijlen; Arnaud Lallouet (ICTAI, 2023)

Near-Linear Time Projection onto the 𝓁1, ∞ Ball; Application to Sparse Autoencoders. - Guillaume Perez; Laurent Condat; Michel Barlaud (CoRR, 2023)

A Constraint Programming Model for Scheduling the Unloading of Trains in Ports: Extended. - Guillaume Perez; Gael Glorian; Wijnand Suijlen; Arnaud Lallouet (CoRR, 2023)

Near-Linear Time Projection onto the $ ell_{1, infty}$ Ball; Application to Sparse Neural Networks. - Guillaume Perez; Laurent Condat; Michel Barlaud (ICTAI, 2024)

Multi-level projection with exponential parallel speedup; Application to sparse auto-encoders neural networks. - Guillaume Perez; Michel Barlaud (CoRR, 2024)

A new Linear Time Bi-level ℓ1,∞ projection ; Application to the sparsification of auto-encoders neural networks. - Michel Barlaud; Guillaume Perez; Jean-Paul Marmorat (CoRR, 2024)