From tree matching to sparse graph alignment L Ganassali, L Massoulié Conference on Learning Theory, 1633-1665, 2020 | 43* | 2020 |
Impossibility of Partial Recovery in the Graph Alignment Problem L Ganassali, L Massoulié, M Lelarge Conference on Learning Theory 134, 2080-2102, 2021 | 27* | 2021 |
Sharp threshold for alignment of graph databases with Gaussian weights L Ganassali Mathematical and Scientific Machine Learning (MSML21), 2020 | 18 | 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 | 17* | 2021 |
Spectral alignment of correlated gaussian random matrices L Ganassali, M Lelarge, L Massoulié Advances in Applied Probability 54 (1), 2019 | 17* | 2019 |
Statistical limits of correlation detection in trees L Ganassali, L Massoulié, G Semerjian arXiv preprint arXiv:2209.13723, 2022 | 11 | 2022 |
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 |
Causal discovery via monotone triangular transport maps S Akbari, L Ganassali, N Kiyavash NeurIPS 2023 Workshop Optimal Transport and Machine Learning, 2023 | 6* | 2023 |
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 | 2 | 2023 |
The graph alignment problem: fundamental limits and efficient algorithms L Ganassali arXiv preprint arXiv:2404.12418, 2024 | | 2024 |
SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints E Daoud, L Ganassali, A Baker, M Lelarge arXiv preprint arXiv:2203.10107, 2022 | | 2022 |