Learning with Combinatorial Optimization Layers: a Probabilistic Approach. - Guillaume Dalle; Léo Baty; Louis Bouvier; Axel Parmentier (CoRR, 2022)

Optimal Performance of Graph Convolutional Networks on the Contextual Stochastic Block Model. - Guillaume Dalle; Patrick Thiran (LoG, 2024)

Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression. - Lucas Clarté; Adrien Vandenbroucque; Guillaume Dalle; Bruno Loureiro; Florent Krzakala; Lenka Zdeborová (UAI, 2024)

Solving a Continent-Scale Inventory Routing Problem at Renault. - Louis Bouvier; Guillaume Dalle; Axel Parmentier; Thibaut Vidal (Transp. Sci., 2024)

HiddenMarkovModels.jl: generic, fast and reliable state space modeling. - Guillaume Dalle (J. Open Source Softw., 2024)

Sparser, Better, Faster, Stronger: Sparsity Detection for Efficient Automatic Differentiation. - Adrian Hill; Guillaume Dalle (Trans. Mach. Learn. Res., 2025)

Sparser, Better, Faster, Stronger: Efficient Automatic Differentiation for Sparse Jacobians and Hessians. - Adrian Hill; Guillaume Dalle (CoRR, 2025)

A Common Interface for Automatic Differentiation. - Guillaume Dalle; Adrian Hill (CoRR, 2025)

Revisiting Sparse Matrix Coloring and Bicoloring. - Alexis Montoison; Guillaume Dalle; Assefaw Hadish Gebremedhin (CoRR, 2025)