Spectral alignment of correlated Gaussian random matrices. - Luca Ganassali; Marc Lelarge; Laurent Massoulié (CoRR, 2019)

From tree matching to sparse graph alignment. - Luca Ganassali; Laurent Massoulié (COLT, 2020)

Impossibility of Partial Recovery in the Graph Alignment Problem. - Luca Ganassali; Laurent Massoulié; Marc Lelarge (COLT, 2021)

Sharp threshold for alignment of graph databases with Gaussian weights. - Luca Ganassali (MSML, 2021)

Correlation detection in trees for partial graph alignment. - Luca Ganassali; Laurent Massoulié; Marc Lelarge (CoRR, 2021)

Correlation Detection in Trees for Planted Graph Alignment. - Luca Ganassali; Laurent Massoulié; Marc Lelarge (ITCS, 2022)

SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints. - Eric Daoud; Luca Ganassali; Antoine Baker; Marc Lelarge (CoRR, 2022)

The graph alignment problem: fundamental limits and efficient algorithms. (Alignement de graphes : limites fondamentales et algorithmes efficaces). - Luca Ganassali (2022)

Learning Causal Graphs via Monotone Triangular Transport Maps. - Sina Akbari; Luca Ganassali; Negar Kiyavash (CoRR, 2023)

On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery. - Fateme Jamshidi; Luca Ganassali; Negar Kiyavash (ICML, 2024)

Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem. - Mathieu Even; Luca Ganassali; Jakob Maier; Laurent Massoulié (NeurIPS, 2024)

The graph alignment problem: fundamental limits and efficient algorithms. - Luca Ganassali (CoRR, 2024)