Luca Ganassali

According to our database, Luca Ganassali authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

The graph alignment problem: fundamental limits and efficient algorithms.

Luca Ganassali

CoRR, 2024

On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery.

Fateme Jamshidi, Luca Ganassali, Negar Kiyavash

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Learning Causal Graphs via Monotone Triangular Transport Maps.

Sina Akbari, Luca Ganassali, Negar Kiyavash

CoRR, 2023

2022

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

Luca Ganassali

PhD thesis, 2022

SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints.

Eric Daoud, Luca Ganassali, Antoine Baker, Marc Lelarge

CoRR, 2022

Correlation Detection in Trees for Planted Graph Alignment.

Luca Ganassali, Laurent Massoulié, Marc Lelarge

Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

2021

Correlation detection in trees for partial graph alignment.

Luca Ganassali, Laurent Massoulié, Marc Lelarge

CoRR, 2021

Sharp threshold for alignment of graph databases with Gaussian weights.

Luca Ganassali

Proceedings of the Mathematical and Scientific Machine Learning, 2021

Impossibility of Partial Recovery in the Graph Alignment Problem.

Luca Ganassali, Laurent Massoulié, Marc Lelarge

Proceedings of the Conference on Learning Theory, 2021

2020

From tree matching to sparse graph alignment.

Luca Ganassali, Laurent Massoulié

Proceedings of the Conference on Learning Theory, 2020

2019

Spectral alignment of correlated Gaussian random matrices.

Luca Ganassali, Marc Lelarge, Laurent Massoulié

CoRR, 2019