From tree matching to sparse graph alignment L Ganassali, L Massoulié Conference on Learning Theory, 1633-1665, 2020 | 46* | 2020 |
Impossibility of Partial Recovery in the Graph Alignment Problem L Ganassali, L Massoulié, M Lelarge Conference on Learning Theory 134, 2080-2102, 2021 | 31 | 2021 |
Sharp threshold for alignment of graph databases with Gaussian weights L Ganassali Mathematical and Scientific Machine Learning (MSML21), 2020 | 22 | 2020 |
Correlation Detection in Trees for Planted Graph Alignment L Ganassali, L Massoulié, M Lelarge 13th Innovations in Theoretical Computer Science Conference (ITCS 2022) 215 …, 2021 | 21* | 2021 |
Spectral alignment of correlated gaussian random matrices L Ganassali, M Lelarge, L Massoulié Advances in Applied Probability 54 (1), 2019 | 18* | 2019 |
Statistical limits of correlation detection in trees L Ganassali, L Massoulié, G Semerjian arXiv preprint arXiv:2209.13723, 2022 | 15 | 2022 |
Causal discovery via monotone triangular transport maps S Akbari, L Ganassali, N Kiyavash NeurIPS 2023 Workshop Optimal Transport and Machine Learning, 2023 | 8* | 2023 |
Probabilistic and mean-field model of COVID-19 epidemics with user mobility and contact tracing M Akian, L Ganassali, S Gaubert, L Massoulié arXiv preprint arXiv:2009.05304, 2020 | 8 | 2020 |
On sample complexity of conditional independence testing with von mises estimator with application to causal discovery F Jamshidi, L Ganassali, N Kiyavash arXiv preprint arXiv:2310.13553, 2023 | 3 | 2023 |
The graph alignment problem: fundamental limits and efficient algorithms L Ganassali arXiv preprint arXiv:2404.12418, 2024 | 1 | 2024 |
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem M Even, L Ganassali, J Maier, L Massoulié arXiv preprint arXiv:2405.14532, 2024 | | 2024 |