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Luca Ganassali
Luca Ganassali
Université Paris-Saclay, Laboratoire de Mathématiques d'Orsay
Verified email at universite-paris-saclay.fr - Homepage
Title
Cited by
Cited by
Year
From tree matching to sparse graph alignment
L Ganassali, L Massoulié
Conference on Learning Theory, 1633-1665, 2020
41*2020
Impossibility of Partial Recovery in the Graph Alignment Problem
L Ganassali, L Massoulié, M Lelarge
Conference on Learning Theory 134, 2080-2102, 2021
25*2021
Sharp threshold for alignment of graph databases with Gaussian weights
L Ganassali
Mathematical and Scientific Machine Learning (MSML21), 2020
172020
Spectral alignment of correlated gaussian random matrices
L Ganassali, M Lelarge, L Massoulié
Advances in Applied Probability 54 (1), 2019
17*2019
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
15*2021
Statistical limits of correlation detection in trees
L Ganassali, L Massoulié, G Semerjian
arXiv preprint arXiv:2209.13723, 2022
82022
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
82020
Causal discovery via monotone triangular transport maps
S Akbari, L Ganassali, N Kiyavash
NeurIPS 2023 Workshop Optimal Transport and Machine Learning, 2023
5*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
22023
The graph alignment problem: fundamental limits and efficient algorithms
L Ganassali
PSL Research University; Ecole normale supérieure, 2022
2022
SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints
E Daoud, L Ganassali, A Baker, M Lelarge
arXiv preprint arXiv:2203.10107, 2022
2022
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Articles 1–11